{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 准备工作"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "'''\n",
    "阿里研究院\n",
    "阿里健康\n",
    "阿里巴巴商学院\n",
    "阿里数据\n",
    "\n",
    "腾讯金融科技\n",
    "腾讯研究院\n",
    "腾讯媒体研究院\n",
    "腾讯云启研究院\n",
    "酷鹅用户研究院\n",
    "'''\n",
    "公众号 = \"蚂蚁金服科技\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "fn = { \"output\" : { \"公众号_htm_snippets\": \"data_raw_src/公众号_htm_snippets_{公众号}.tsv\",\n",
    "                    \"公众号_df\": \"data_raw_src/公众号_df_{公众号}.tsv\",\n",
    "                    \"公众号_xlsx\": \"data_sets/公众号_url_{公众号}.xlsx\" } \\\n",
    "      }"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 采集公众号（requests）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0\n",
      "5\n",
      "10\n",
      "15\n",
      "20\n"
     ]
    }
   ],
   "source": [
    "# 目标url\n",
    "\n",
    "import time\n",
    "import requests\n",
    "import pandas as pd\n",
    "import csv\n",
    "\n",
    "\n",
    "url = \"https://mp.weixin.qq.com/cgi-bin/appmsg\"\n",
    "\n",
    "# 使用Cookie，跳过登陆操作\n",
    "headers = {\n",
    "  \"Cookie\": \"pgv_pvi=8704569344; RK=UjQ9BLy2TA; ptcz=85e3dc6e9cb5cdf04e99d862b1e54a58c97a99efde63c9ce9bc296f32c7f5cac; ua_id=cwM6LMvbGUeynaG2AAAAANPVIrWSOcaMH41mcOCUgWo=; mm_lang=zh_CN; wxuin=89210501505377; pgv_pvid=8309706985; noticeLoginFlag=1; openid2ticket_oR4K-4hWvcV2BL-kahtFK8BEyd4k=cmk3qhrP47X3vvRj1WyY+kFXo2dxUDzpwgh+JSQuzww=; bizuin=3237931206; pgv_si=s9697594368; cert=al0SDNFzokZi9IoVpAlOKlt4CUnP6dxI; ticket_id=gh_a05e9811e510; ticket=142e6bd441e7c805197eba7f0cdfc4f649eddb61; uuid=483f4ef85ce38122db002abafd789050; data_bizuin=3237931206; data_ticket=5SCEKevUYg88JT2efS2y4liTXnlvMZc14Xu8tQgrHsNel9uWoI4UuGfOLWtXKyrM; slave_sid=VWpnTzhSYzB3SUNOMURBNVEyR3RxN0I3eUNVeGRtWWl2a0dzX3FjeUdPaHF0VVlpUDlhVVA5RUtmTmhlMndjc0NiR19PX0kxeXhsd1Z2S0xWQWdjYzV0MTdDdzBucVJhZ0V4dkh1NjdUV1JCTTAxbGVCS0hYYXo5cmJRN09SU3d5ZmVaRWJ2bFVra3QyQWto; slave_bizuin=3237931206; rand_info=CAESILCSTew2zO5lK9JK4ssNbHOcyY/+GUIU0P67gsuTcQpF; xid=49f1b29beacaf02ac5ecd03c24463744; openid2ticket_oxuj-wJEVDoQM1kAoL2hpnUx21Dw=SB7UgI1DwBYfEUPFNEwOdsT/tAOESpm9Z4xluhwfdDU=; slave_user=gh_a05e9811e510\",\n",
    "  \"User-Agent\": \"Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/81.0.4044.138 Safari/537.36\"}\n",
    "\n",
    "data = {\n",
    "    \"token\": \"167427102\",\n",
    "    \"lang\": \"zh_CN\",\n",
    "    \"f\": \"json\",\n",
    "    \"ajax\": \"1\",\n",
    "    \"action\": \"list_ex\",\n",
    "    \"begin\": \"0\",\n",
    "    \"count\": \"5\",\n",
    "    \"query\": \"\",\n",
    "    \"fakeid\": \"MzI0Nzc3MTQyMw==\",\n",
    "    \"type\": \"9\",\n",
    "}\n",
    "\n",
    "\n",
    "\n",
    "content_list=[]\n",
    "\n",
    "for i in range(5):\n",
    "    data[\"begin\"] = i*5\n",
    "    print(data[\"begin\"])\n",
    "    time.sleep(3)\n",
    "    # 使用get方法进行提交\n",
    "    content_json = requests.get(url, headers=headers, params=data).json()\n",
    "#     print(content_json)\n",
    "    # 返回了一个json，里面是每一页的数据\n",
    "    for item in content_json[\"app_msg_list\"]:\n",
    "    # 提取每页文章的标题及对应的url\n",
    "        items = []\n",
    "        items.append(item[\"title\"])\n",
    "        items.append(item[\"link\"])\n",
    "        items.append(item[\"create_time\"])\n",
    "        content_list.append(items)\n",
    "\n",
    "\n",
    "name=['title','link','create_time']\n",
    "test=pd.DataFrame(columns=name,data=content_list)\n",
    "with pd.ExcelWriter(fn[\"output\"][\"公众号_xlsx\"].format(公众号=\"蚂蚁金服科技_requests\")) as writer:\n",
    "    test.to_excel(writer)\n",
    "\n",
    "# test.to_csv(\"../微信公众号爬虫_zhichao/南方周末.csv\",mode='a',encoding='utf-8')\n",
    "# print(\"保存成功\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 采集公众号（selenium）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "from lxml.html import fromstring\n",
    "import time\n",
    "from random import random\n",
    "\n",
    "# when selenium main_content is used\n",
    "# Parses an HTML document from a string constant.  Returns the root nood\n",
    "# root = fromstring(df.loc[1,\"html_snippets\"]) "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 使用Selenium\n",
    "* 要更改 opts.binary_location 至自己本地的Chrome浏览器，建议portable\n",
    "* Chrome浏览器 和 chromedriver.exe要同版本号到小数后一位\n",
    "* 要确保可以 开启浏览器机器人\n",
    "* 要确保浏览器机器人 可以打开网页 driver.get(\"https://mp.weixin.qq.com\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Administrator.USER-20190824NZ\\anaconda3\\lib\\site-packages\\ipykernel_launcher.py:18: DeprecationWarning: use options instead of chrome_options\n"
     ]
    }
   ],
   "source": [
    "from selenium import webdriver\n",
    "from selenium.webdriver.common.desired_capabilities import DesiredCapabilities\n",
    "\n",
    "#caps=dict()\n",
    "#caps[\"pageLoadStrategy\"] = \"none\"   # Do not wait for full page load\n",
    "\n",
    "opts = webdriver.ChromeOptions()\n",
    "opts.add_argument('--no-sandbox')#解决DevToolsActivePort文件不存在的报错\n",
    "opts.add_argument('window-size=1920x3000') #指定浏览器分辨率\n",
    "opts.add_argument('--disable-gpu') #谷歌文档提到需要加上一这个属性来规避bug\n",
    "opts.add_argument('--hide-scrollbars') #隐藏滚动条, 应对些特殊页面\n",
    "#opts.add_argument('blink-settings=imagesEnabled=false') #不加载图片, 提升速度\n",
    "#opts.add_argument('--headless') #浏览器不提供可视化页面. linux下如果系统不支持可视化不加这条会启动失败\n",
    "\n",
    "opts.binary_location = r\"C:\\Program Files (x86)\\Google\\Chrome\\Application\\chrome.exe\" #\"H:\\_coding_\\Gitee\\InternetNewMedia\\CapstonePrj2016\\chromedriver.exe\"  \n",
    "\n",
    "# \"H:\\_coding_\\Gitee\\InternetNewMedia\\CapstonePrj2016\\chromedriver.exe\"  \n",
    "driver = webdriver.Chrome( chrome_options = opts) #desired_capabilities=caps,"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "driver.get(\"https://mp.weixin.qq.com\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 填表登入"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "selenium 的定位方法\n",
    "* find_element_by_id &ensp;&ensp;&ensp;  根据标签id定位\n",
    "* find_element_by_name   &ensp;&ensp;&ensp; 根据标签的name定位\n",
    "* find_element_by_xpath  &ensp;&ensp;&ensp; 根据xpath定位\n",
    "* find_element_by_link_text  &ensp;&ensp;&ensp; 通过文字链接来定位元素\n",
    "* find_element_by_partial_link_text  &ensp;&ensp;&ensp;  通过文字链接来定位元素\n",
    "* find_element_by_tag_name  &ensp;&ensp;&ensp;  根据标签的名字定位\n",
    "* find_element_by_class_name  &ensp;&ensp;&ensp; 通过class name 定位\n",
    "* find_element_by_css_selector  &ensp;&ensp;&ensp;  根据元素属性来定位"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "payload =  {\"account\": \"1634354797@qq.com\", \"password\": \"crain2361zoe***\"}\n",
    "# payload =  {\"account\": \"NFUHacks@163.com\", \"password\": \"NFU706947580\"}\n",
    "driver.find_element_by_xpath('//div[@class=\"login__type__container login__type__container__scan\"]/a').click()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "WebDriver 常用方法：\n",
    "* clear()清楚文本\n",
    "* send_keys(values)模拟按键输入\n",
    "* click()模拟点击\n",
    "* submit模拟提交"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "driver.find_element_by_xpath('//form[@class=\"login_form\"]//input[@name=\"account\"]').clear()\n",
    "driver.find_element_by_xpath('//form[@class=\"login_form\"]//input[@name=\"account\"]').send_keys(payload['account'])\n",
    "driver.find_element_by_xpath('//form[@class=\"login_form\"]//input[@name=\"password\"]').clear()\n",
    "driver.find_element_by_xpath('//form[@class=\"login_form\"]//input[@name=\"password\"]').send_keys(payload['password'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "driver.find_element_by_xpath('//div[@class=\"login_btn_panel\"]/a').click()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 点选单"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "其他常用方法\n",
    "* size：返回元素的尺寸\n",
    "* text：获取元素的文本\n",
    "* get_attribute：获取属性值  &ensp;&ensp;&ensp; get_attribute('innerHTML')获取元素内的全部HTML\n",
    "* is_displayed()：设置该元素用户是否可见"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'展开'"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "element = driver.find_element_by_xpath('//a[@id=\"m_open\"]')\n",
    "element.click()\n",
    "main_content = element.get_attribute('innerHTML')\n",
    "main_content"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "driver.execute_script(\"window.scrollTo(0,document.body.scrollHeight)\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'https://mp.weixin.qq.com/cgi-bin/appmsg?begin=0&count=10&t=media/appmsg_list&type=10&action=list&token=193355988&lang=zh_CN'"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "element = driver.find_element_by_xpath('//li[@title[contains(.,\"素材管理\")]]/a') \n",
    "# main_content = element.get_attribute('innerHTML')\n",
    "# main_content\n",
    "url2= element.get_attribute(\"href\")\n",
    "url2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "#跳转到url2页面\n",
    "driver.get(url2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 新建图文消息"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "# *是匹配任何元素节点；.指代当前节点\n",
    "element = driver.find_element_by_xpath('//*[text()[contains(.,\"新建图文消息\")]]') \n",
    "main_content = element.get_attribute('innerHTML')\n",
    "main_content\n",
    "element.click()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['CDwindow-89BBF5F095E0AAC248C993DE345EDCD4', 'CDwindow-D713EBDC3FFE3FA255FA13881B3FFA93']\n"
     ]
    }
   ],
   "source": [
    "print (driver.window_handles)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 新建图文消息开了另一分视窗，所以要切换 switch_to \n",
    "driver.switch_to.window(driver.window_handles[1])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 超链接"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                超链接              \n"
     ]
    }
   ],
   "source": [
    "# 定位到含有“超链接”三字的文字\n",
    "element = driver.find_element_by_xpath('//*[text()[contains(.,\"超链接\")]]') \n",
    "main_content = element.get_attribute('innerHTML')\n",
    "print(main_content)\n",
    "element.click()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "选择其他公众号\n"
     ]
    }
   ],
   "source": [
    "# 点 选择其他公众号\n",
    "element = driver.find_element_by_xpath('//*[text()[contains(.,\"选择其他公众号\")]]') \n",
    "main_content = element.get_attribute('innerHTML')\n",
    "print(main_content)\n",
    "element.click()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "driver.find_element_by_xpath('//form//div[@class=\"inner_link_account_area\"]//input[@class=\"weui-desktop-form__input\"]').clear()\n",
    "driver.find_element_by_xpath('//form//div[@class=\"inner_link_account_area\"]//input[@class=\"weui-desktop-form__input\"]').send_keys(公众号)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<div class=\"weui-desktop-icon weui-desktop-icon__inputSearch weui-desktop-icon__small\"><!----> <!----> <!----> <!----> <!----> <!----> <!----> <!----> <!----> <!----> <!----> <!----> <!----> <!----> <!----> <!----> <!----> <!----> <!----> <!----> <!----> <!----> <!----> <!----> <!----> <!----> <!----> <!----> <!----> <!----> <!----> <!----> <!----> <!----> <!----> <!----> <!----> <!----> <!----> <!----> <!----> <!----> <!----> <!----> <!----> <!----> <!----> <!----> <!----> <!----> <!----> <!----> <!----> <!----> <svg width=\"16\" height=\"16\" viewBox=\"0 0 16 16\" xmlns=\"http://www.w3.org/2000/svg\"><path d=\"M11.33 10.007l4.273 4.273a.502.502 0 0 1 .005.709l-.585.584a.499.499 0 0 1-.709-.004L10.046 11.3a6.278 6.278 0 1 1 1.284-1.294zm.012-3.729a5.063 5.063 0 1 0-10.127 0 5.063 5.063 0 0 0 10.127 0z\"></path></svg> <!----> <!----> <!----> <!----></div>\n"
     ]
    }
   ],
   "source": [
    "# 点放大镜搜\n",
    "element = driver.find_element_by_xpath('//button[@class=\"weui-desktop-icon-btn weui-desktop-search__btn\"]')\n",
    "main_content = element.get_attribute('innerHTML')\n",
    "print(main_content)\n",
    "element.click()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<li class=\"inner_link_account_item\"><div class=\"weui-desktop-vm_primary\"><img src=\"http://mmbiz.qpic.cn/mmbiz_png/0H3REshgy4l4tR1s2yhXJFPnTQIp4DTrM0QKpaqWRf4s50zkF7cC6o90L7Ztocia1rLL2hibiaRYpibFl5VibqU0bkg/0?wx_fmt=png\" class=\"inner_link_account_avatar\"> <strong class=\"inner_link_account_nickname\">阿里数据</strong> <i class=\"inner_link_account_wechat\">微信号：ali_data</i></div> <div class=\"weui-desktop-vm_default inner_link_account_type\">订阅号</div></li><li class=\"inner_link_account_item\"><div class=\"weui-desktop-vm_primary\"><img src=\"http://mmbiz.qpic.cn/mmbiz_png/Hk1ceA7cQUBcNYcCOPibdK7enyl8iaywEnw4QITLezbiaibFaBAFharGuUwuTLbW6lR4GborbDhVEHQN1Bj5gtFjUw/0?wx_fmt=png\" class=\"inner_link_account_avatar\"> <strong class=\"inner_link_account_nickname\">阿里巴巴数据库技术</strong> <i class=\"inner_link_account_wechat\">微信号：alibabadba</i></div> <div class=\"weui-desktop-vm_default inner_link_account_type\">订阅号</div></li><li class=\"inner_link_account_item\"><div class=\"weui-desktop-vm_primary\"><img src=\"http://mmbiz.qpic.cn/mmbiz_png/stARYvaHoZTF0MxXYicACA9gGjvrpVhzWSUC1MiakYav4Uujgcg44Gr6r6oiaPhAIyoIDloMedL6VTanPXAqnfBZA/0?wx_fmt=png\" class=\"inner_link_account_avatar\"> <strong class=\"inner_link_account_nickname\">阿里巴巴数据安全研究院</strong> <i class=\"inner_link_account_wechat\">微信号：未设置</i></div> <div class=\"weui-desktop-vm_default inner_link_account_type\">订阅号</div></li><li class=\"inner_link_account_item\"><div class=\"weui-desktop-vm_primary\"><img src=\"http://mmbiz.qpic.cn/mmbiz_png/MLkFC1D6QCw9pJh5o9joib4x3mb6icPv8F619UT0yRx2edeicgIia1vl7AwEqMbIvKn45jXjiccv00dODWQMTts1GibA/0?wx_fmt=png\" class=\"inner_link_account_avatar\"> <strong class=\"inner_link_account_nickname\">北京城市学院阿里大数据学院</strong> <i class=\"inner_link_account_wechat\">微信号：未设置</i></div> <div class=\"weui-desktop-vm_default inner_link_account_type\">服务号</div></li><li class=\"inner_link_account_item\"><div class=\"weui-desktop-vm_primary\"><img src=\"http://mmbiz.qpic.cn/mmbiz_png/Cv3KXkGd841vjhXibnox1Kiaca2Fgy8ZVWEibz7uUwxAJYRBFJcwXAfQiaDvP12kge9azpTqdgmicuVia6ysjuww9hiaQ/0?wx_fmt=png\" class=\"inner_link_account_avatar\"> <strong class=\"inner_link_account_nickname\">常州大学阿里云大数据学院</strong> <i class=\"inner_link_account_wechat\">微信号：未设置</i></div> <div class=\"weui-desktop-vm_default inner_link_account_type\">订阅号</div></li>\n"
     ]
    }
   ],
   "source": [
    "element = driver.find_element_by_xpath('//ul[@class=\"inner_link_account_list\"]')\n",
    "main_content = element.get_attribute('innerHTML')\n",
    "print(main_content)\n",
    "公众号SERP = main_content\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 解析\n",
    "#fromstring() 可以在解析xml格式时，将字符串道转换为Element对象\n",
    "root = fromstring(公众号SERP) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "主 = root.xpath('//li[@class=\"inner_link_account_item\"]')\n",
    "\n",
    "account_list = []\n",
    "for e in 主:\n",
    "    account_nickname = e.xpath('./div/strong[@class=\"inner_link_account_nickname\"]')[0].text\n",
    "    account_wechat = e.xpath('./div/i[@class=\"inner_link_account_wechat\"]')[0].text\n",
    "    account_img = e.xpath('./div/img/@src')[0]\n",
    "    account = {\"nickname\": account_nickname, \"wechat\": account_wechat, \"img\": account_img,}\n",
    "    account_list.append(account)\n",
    "\n",
    "df_account = pd.DataFrame(account_list)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>nickname</th>\n",
       "      <th>wechat</th>\n",
       "      <th>img</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>阿里数据</td>\n",
       "      <td>微信号：ali_data</td>\n",
       "      <td>http://mmbiz.qpic.cn/mmbiz_png/0H3REshgy4l4tR1...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>阿里巴巴数据库技术</td>\n",
       "      <td>微信号：alibabadba</td>\n",
       "      <td>http://mmbiz.qpic.cn/mmbiz_png/Hk1ceA7cQUBcNYc...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>阿里巴巴数据安全研究院</td>\n",
       "      <td>微信号：未设置</td>\n",
       "      <td>http://mmbiz.qpic.cn/mmbiz_png/stARYvaHoZTF0Mx...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>北京城市学院阿里大数据学院</td>\n",
       "      <td>微信号：未设置</td>\n",
       "      <td>http://mmbiz.qpic.cn/mmbiz_png/MLkFC1D6QCw9pJh...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>常州大学阿里云大数据学院</td>\n",
       "      <td>微信号：未设置</td>\n",
       "      <td>http://mmbiz.qpic.cn/mmbiz_png/Cv3KXkGd841vjhX...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        nickname          wechat  \\\n",
       "0           阿里数据    微信号：ali_data   \n",
       "1      阿里巴巴数据库技术  微信号：alibabadba   \n",
       "2    阿里巴巴数据安全研究院         微信号：未设置   \n",
       "3  北京城市学院阿里大数据学院         微信号：未设置   \n",
       "4   常州大学阿里云大数据学院         微信号：未设置   \n",
       "\n",
       "                                                 img  \n",
       "0  http://mmbiz.qpic.cn/mmbiz_png/0H3REshgy4l4tR1...  \n",
       "1  http://mmbiz.qpic.cn/mmbiz_png/Hk1ceA7cQUBcNYc...  \n",
       "2  http://mmbiz.qpic.cn/mmbiz_png/stARYvaHoZTF0Mx...  \n",
       "3  http://mmbiz.qpic.cn/mmbiz_png/MLkFC1D6QCw9pJh...  \n",
       "4  http://mmbiz.qpic.cn/mmbiz_png/Cv3KXkGd841vjhX...  "
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_account"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<div class=\"weui-desktop-vm_primary\"><img src=\"http://mmbiz.qpic.cn/mmbiz_png/0H3REshgy4l4tR1s2yhXJFPnTQIp4DTrM0QKpaqWRf4s50zkF7cC6o90L7Ztocia1rLL2hibiaRYpibFl5VibqU0bkg/0?wx_fmt=png\" class=\"inner_link_account_avatar\"> <strong class=\"inner_link_account_nickname\">阿里数据</strong> <i class=\"inner_link_account_wechat\">微信号：ali_data</i></div> <div class=\"weui-desktop-vm_default inner_link_account_type\">订阅号</div>\n"
     ]
    }
   ],
   "source": [
    "element = driver.find_element_by_xpath('//ul[@class=\"inner_link_account_list\"]/li')\n",
    "main_content = element.get_attribute('innerHTML')\n",
    "print(main_content)\n",
    "element.click()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'\\n跳转_input = driver.find_element_by_xpath(\\'//span[@class=\"weui-desktop-pagination__form\"]/input\\')\\n跳转_a = driver.find_element_by_xpath(\\'//span[@class=\"weui-desktop-pagination__form\"]/a\\')\\n跳转_input.clear()\\n跳转_input.send_keys(2)\\n跳转_a.click()\\n'"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 跳转testing\n",
    "'''\n",
    "跳转_input = driver.find_element_by_xpath('//span[@class=\"weui-desktop-pagination__form\"]/input')\n",
    "跳转_a = driver.find_element_by_xpath('//span[@class=\"weui-desktop-pagination__form\"]/a')\n",
    "跳转_input.clear()\n",
    "跳转_input.send_keys(2)\n",
    "跳转_a.click()\n",
    "'''"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1, 43]\n",
      "False\n"
     ]
    }
   ],
   "source": [
    "# 跳转上限\n",
    "l_e = driver.find_elements_by_xpath('//label[@class=\"weui-desktop-pagination__num\"]')\n",
    "l_e_int  = [int(x.text) for x in l_e] \n",
    "print (l_e_int)\n",
    "print (l_e_int[0]==l_e_int[-1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43]\n"
     ]
    }
   ],
   "source": [
    "pages = list(range(l_e_int[0],l_e_int[-1]+1 ))\n",
    "#print(pages[0:2])\n",
    "#利用range()循环输出并转化为列表\n",
    "pages = list(range(1,l_e_int[-1]+1 ))\n",
    "print(pages)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 循环/遍历"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "# global varialbes \n",
    "html_raw = dict()\n",
    "main_content =\"\"\n",
    "element = None"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [],
   "source": [
    "def process_pages (pages):\n",
    "    for p in pages:\n",
    "        print (p,end='\\t')\n",
    "           #找到跳转输入框并填入数字\n",
    "\n",
    "        跳转_input = driver.find_element_by_xpath('//span[@class=\"weui-desktop-pagination__form\"]/input')\n",
    "        跳转_a = driver.find_element_by_xpath('//span[@class=\"weui-desktop-pagination__form\"]/a')\n",
    "        #先清空\n",
    "        跳转_input.clear()\n",
    "        跳转_input.send_keys(p)\n",
    "        跳转_a.click()\n",
    "\n",
    "        time.sleep(45+120*random())\n",
    "        #某个公众号信息\n",
    "\n",
    "        element = driver.find_element_by_xpath('//div[@class=\"inner_link_article_list\"]')\n",
    "        main_content = element.get_attribute('innerHTML')\n",
    "        #print(main_content)\n",
    "        html_raw[p] = main_content"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1\t2\t3\t4\t5\t6\t7\t8\t9\t10\t11\t12\t13\t14\t15\t16\t17\t18\t19\t20\t21\t22\t23\t24\t25\t26\t27\t28\t29\t30\t31\t32\t33\t34\t35\t36\t37\t38\t39\t40\t41\t42\t43\t"
     ]
    }
   ],
   "source": [
    "process_pages(pages)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>html_snippets</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                        html_snippets\n",
       "1   <div><label class=\"inner_link_article_item\"><s...\n",
       "2   <div><label class=\"inner_link_article_item\"><s...\n",
       "3   <div><label class=\"inner_link_article_item\"><s...\n",
       "4   <div><label class=\"inner_link_article_item\"><s...\n",
       "5   <div><label class=\"inner_link_article_item\"><s...\n",
       "6   <div><label class=\"inner_link_article_item\"><s...\n",
       "7   <div><label class=\"inner_link_article_item\"><s...\n",
       "8   <div><label class=\"inner_link_article_item\"><s...\n",
       "9   <div><label class=\"inner_link_article_item\"><s...\n",
       "10  <div><label class=\"inner_link_article_item\"><s...\n",
       "11  <div><label class=\"inner_link_article_item\"><s...\n",
       "12  <div><label class=\"inner_link_article_item\"><s...\n",
       "13  <div><label class=\"inner_link_article_item\"><s...\n",
       "14  <div><label class=\"inner_link_article_item\"><s...\n",
       "15  <div><label class=\"inner_link_article_item\"><s...\n",
       "16  <div><label class=\"inner_link_article_item\"><s...\n",
       "17  <div><label class=\"inner_link_article_item\"><s...\n",
       "18  <div><label class=\"inner_link_article_item\"><s...\n",
       "19  <div><label class=\"inner_link_article_item\"><s...\n",
       "20  <div><label class=\"inner_link_article_item\"><s...\n",
       "21  <div><label class=\"inner_link_article_item\"><s...\n",
       "22  <div><label class=\"inner_link_article_item\"><s...\n",
       "23  <div><label class=\"inner_link_article_item\"><s...\n",
       "24  <div><label class=\"inner_link_article_item\"><s...\n",
       "25  <div><label class=\"inner_link_article_item\"><s...\n",
       "26  <div><label class=\"inner_link_article_item\"><s...\n",
       "27  <div><label class=\"inner_link_article_item\"><s...\n",
       "28  <div><label class=\"inner_link_article_item\"><s...\n",
       "29  <div><label class=\"inner_link_article_item\"><s...\n",
       "30  <div><label class=\"inner_link_article_item\"><s...\n",
       "31  <div><label class=\"inner_link_article_item\"><s...\n",
       "32  <div><label class=\"inner_link_article_item\"><s...\n",
       "33  <div><label class=\"inner_link_article_item\"><s...\n",
       "34  <div><label class=\"inner_link_article_item\"><s...\n",
       "35  <div><label class=\"inner_link_article_item\"><s...\n",
       "36  <div><label class=\"inner_link_article_item\"><s...\n",
       "37  <div><label class=\"inner_link_article_item\"><s...\n",
       "38  <div><label class=\"inner_link_article_item\"><s...\n",
       "39  <div><label class=\"inner_link_article_item\"><s...\n",
       "40  <div><label class=\"inner_link_article_item\"><s...\n",
       "41  <div><label class=\"inner_link_article_item\"><s...\n",
       "42  <div><label class=\"inner_link_article_item\"><s...\n",
       "43  <div><label class=\"inner_link_article_item\"><s..."
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.DataFrame([html_raw]).T\n",
    "df.columns = [\"html_snippets\"]\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Stored 'html_raw' (dict)\n"
     ]
    }
   ],
   "source": [
    "%store html_raw\n",
    "import pickle \n",
    "filehandler = open(\"html_raw\", 'wb') #'wb'二进制写入；#读写模式:r只读,r+读写,w新建(会覆盖原有文件),a追加,b二进制文件.常用模式\n",
    "\n",
    "#将obj对象的编码pickle编码表示写入到文件对象中，相当于Pickler(file,protocol).dump(obj)\n",
    "#pickle.dump（obj，file，protocol = None，*，fix_imports = True ）\n",
    "#将obj对象序列化存入已经打开的file中。\n",
    "# pickle.load(file)\n",
    "# 函数的功能：将file中的对象序列化读出。\n",
    "\n",
    "pickle.dump(html_raw, filehandler)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>html_snippets</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                        html_snippets\n",
       "1   <div><label class=\"inner_link_article_item\"><s...\n",
       "2   <div><label class=\"inner_link_article_item\"><s...\n",
       "3   <div><label class=\"inner_link_article_item\"><s...\n",
       "4   <div><label class=\"inner_link_article_item\"><s...\n",
       "5   <div><label class=\"inner_link_article_item\"><s...\n",
       "6   <div><label class=\"inner_link_article_item\"><s...\n",
       "7   <div><label class=\"inner_link_article_item\"><s...\n",
       "8   <div><label class=\"inner_link_article_item\"><s...\n",
       "9   <div><label class=\"inner_link_article_item\"><s...\n",
       "10  <div><label class=\"inner_link_article_item\"><s...\n",
       "11  <div><label class=\"inner_link_article_item\"><s...\n",
       "13  <div><label class=\"inner_link_article_item\"><s...\n",
       "14  <div><label class=\"inner_link_article_item\"><s...\n",
       "15  <div><label class=\"inner_link_article_item\"><s...\n",
       "16  <div><label class=\"inner_link_article_item\"><s...\n",
       "17  <div><label class=\"inner_link_article_item\"><s...\n",
       "18  <div><label class=\"inner_link_article_item\"><s...\n",
       "19  <div><label class=\"inner_link_article_item\"><s...\n",
       "20  <div><label class=\"inner_link_article_item\"><s...\n",
       "21  <div><label class=\"inner_link_article_item\"><s...\n",
       "22  <div><label class=\"inner_link_article_item\"><s...\n",
       "23  <div><label class=\"inner_link_article_item\"><s...\n",
       "24  <div><label class=\"inner_link_article_item\"><s...\n",
       "25  <div><label class=\"inner_link_article_item\"><s...\n",
       "26  <div><label class=\"inner_link_article_item\"><s...\n",
       "27  <div><label class=\"inner_link_article_item\"><s...\n",
       "28  <div><label class=\"inner_link_article_item\"><s...\n",
       "29  <div><label class=\"inner_link_article_item\"><s...\n",
       "30  <div><label class=\"inner_link_article_item\"><s...\n",
       "31  <div><label class=\"inner_link_article_item\"><s...\n",
       "32  <div><label class=\"inner_link_article_item\"><s...\n",
       "33  <div><label class=\"inner_link_article_item\"><s...\n",
       "34  <div><label class=\"inner_link_article_item\"><s...\n",
       "35  <div><label class=\"inner_link_article_item\"><s...\n",
       "36  <div><label class=\"inner_link_article_item\"><s...\n",
       "37  <div><label class=\"inner_link_article_item\"><s...\n",
       "38  <div><label class=\"inner_link_article_item\"><s...\n",
       "39  <div><label class=\"inner_link_article_item\"><s...\n",
       "40  <div><label class=\"inner_link_article_item\"><s...\n",
       "41  <div><label class=\"inner_link_article_item\"><s...\n",
       "42  <div><label class=\"inner_link_article_item\"><s...\n",
       "43  <div><label class=\"inner_link_article_item\"><s..."
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "42\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>html_snippets</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                        html_snippets\n",
       "12  <div><label class=\"inner_link_article_item\"><s..."
      ]
     },
     "execution_count": 80,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#duplicated()是对整行进行查重,返回重复了的数据，且只显示n-1条重复的数据（n是重复的次数）\n",
    "#drop_duplicates()函数是将所有重复的数据都去掉了，且默认保留重复数据的第一条。\n",
    "#~表示取反\n",
    "df_out = df[~df.duplicated()]\n",
    "display(df_out)\n",
    "print (len(df_out))\n",
    "df[df.duplicated()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>html_snippets</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>&lt;div&gt;&lt;label class=\"inner_link_article_item\"&gt;&lt;s...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                        html_snippets\n",
       "12  <div><label class=\"inner_link_article_item\"><s..."
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[12]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "[12]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "try_again = list(df[df.duplicated()].index)\n",
    "display(df[df.duplicated()])\n",
    "print(try_again)\n",
    "try_again = try_again + list (set(pages).difference(set(df.index.values)))\n",
    "display(try_again)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 暂存档"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {},
   "outputs": [],
   "source": [
    "filename = fn [\"output\"] [\"公众号_htm_snippets\"] \n",
    "df_out.to_csv(filename.format(公众号=公众号), sep=\"\\t\", encoding=\"utf8\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>title</th>\n",
       "      <th>create_time</th>\n",
       "      <th>link</th>\n",
       "      <th>page</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>十万个“数据为什么” 阿里巴巴校招数据直播专场来啦</td>\n",
       "      <td>2020-04-24</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>史上最大品牌增长行动！天猫发布双百亿品牌新客计划</td>\n",
       "      <td>2020-04-15</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>【今日推荐】10个你需要了解的数据中台知识\\n点击阅读</td>\n",
       "      <td>2020-04-10</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>GROW 2.0品牌数字化增长白皮书​发布</td>\n",
       "      <td>2020-04-01</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>加入阿里大数据，更好的世界，更好的你！</td>\n",
       "      <td>2020-03-25</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
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       "                         title create_time  \\\n",
       "0    十万个“数据为什么” 阿里巴巴校招数据直播专场来啦  2020-04-24   \n",
       "1     史上最大品牌增长行动！天猫发布双百亿品牌新客计划  2020-04-15   \n",
       "2  【今日推荐】10个你需要了解的数据中台知识\\n点击阅读  2020-04-10   \n",
       "3        GROW 2.0品牌数字化增长白皮书​发布  2020-04-01   \n",
       "4          加入阿里大数据，更好的世界，更好的你！  2020-03-25   \n",
       "\n",
       "                                                link  page  \n",
       "0  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...     1  \n",
       "1  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...     1  \n",
       "2  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...     1  \n",
       "3  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...     1  \n",
       "4  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...     1  "
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       "      <td>第二届“数字化转型——数据赋能”高峰论坛本周日即将揭幕</td>\n",
       "      <td>2019-06-17</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
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       "      <td>BI领域的分析利器交叉表使用详解</td>\n",
       "      <td>2019-06-12</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
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       "      <td>2019-06-05</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
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       "      <td>2019-05-20</td>\n",
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       "      <th>4</th>\n",
       "      <td>博物馆文创哪家强，看《2018年天猫博物馆文创数据报告》</td>\n",
       "      <td>2019-05-17</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
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       "                                    title create_time  \\\n",
       "0             第二届“数字化转型——数据赋能”高峰论坛本周日即将揭幕  2019-06-17   \n",
       "1                        BI领域的分析利器交叉表使用详解  2019-06-12   \n",
       "2                          如何建立多层次多粒度取数模型  2019-06-05   \n",
       "3  阿里数据联合天猫发布《2018明星网络消费影响力排行榜》：吴亦凡成新任带货王  2019-05-20   \n",
       "4            博物馆文创哪家强，看《2018年天猫博物馆文创数据报告》  2019-05-17   \n",
       "\n",
       "                                                link  page  \n",
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       "1  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...     2  \n",
       "2  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...     2  \n",
       "3  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...     2  \n",
       "4  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...     2  "
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       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
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       "      <td>2020-02-12</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
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       "      <td>2020-02-11</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
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       "      <td>2020-01-16</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
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       "1        终于也成了别人家口里的牛娃了！  2020-02-12   \n",
       "2  阿里数据：2020七大数据技术领域趋势展望  2020-02-11   \n",
       "3           技术阻击疫情，我们在行动  2020-02-04   \n",
       "4  “以数之力”，大牌们精准营销背后的制胜之道  2020-01-16   \n",
       "\n",
       "                                                link  page  \n",
       "0  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...     3  \n",
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       "      <td>2020-01-15</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
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       "      <td>我们上新啦：数据中台产品又添新成员助力企业业务增长</td>\n",
       "      <td>2020-01-07</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
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       "      <td>酷爆了！达摩院2020十大科技趋势</td>\n",
       "      <td>2020-01-02</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
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       "      <td>一点小心意，2020和阿里数据一起加油</td>\n",
       "      <td>2019-12-31</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
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       "      <td>数据分析如何助力业务增长，数百企业数据分析师与QuickBI共话数据智能未来</td>\n",
       "      <td>2019-12-27</td>\n",
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       "0                   一台企业“发动机”激活雅士利3个亿“资产”  2020-01-15   \n",
       "1               我们上新啦：数据中台产品又添新成员助力企业业务增长  2020-01-07   \n",
       "2                       酷爆了！达摩院2020十大科技趋势  2020-01-02   \n",
       "3                     一点小心意，2020和阿里数据一起加油  2019-12-31   \n",
       "4  数据分析如何助力业务增长，数百企业数据分析师与QuickBI共话数据智能未来  2019-12-27   \n",
       "\n",
       "                                                link  page  \n",
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       "3  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...     4  \n",
       "4  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...     4  "
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       "      <th>0</th>\n",
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       "      <td>2019-12-25</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
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       "      <td>阿里新目标：全球化、内需、大数据和云计算</td>\n",
       "      <td>2019-12-19</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>5</td>\n",
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       "      <th>2</th>\n",
       "      <td>阿里巴巴ONE商业大会重磅发布《2019企业数智化转型发展报告》​</td>\n",
       "      <td>2019-12-18</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>5</td>\n",
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       "      <th>3</th>\n",
       "      <td>《24小时应急大图》打造双12“最强数据大脑”</td>\n",
       "      <td>2019-12-10</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
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       "      <td>2019-12-04</td>\n",
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       "                                    title create_time  \\\n",
       "0                高危行业，红利消失，这家企业的营收为何翻了3倍？  2019-12-25   \n",
       "1                    阿里新目标：全球化、内需、大数据和云计算  2019-12-19   \n",
       "2       阿里巴巴ONE商业大会重磅发布《2019企业数智化转型发展报告》​  2019-12-18   \n",
       "3                 《24小时应急大图》打造双12“最强数据大脑”  2019-12-10   \n",
       "4  扫它，先人一步了解未来BI产品趋势，和阿里数据一起“ 聚力前行，数智未来。”  2019-12-04   \n",
       "\n",
       "                                                link  page  \n",
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       "2  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...     5  \n",
       "3  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...     5  \n",
       "4  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...     5  "
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       "      <th>0</th>\n",
       "      <td>用时1小时，超越去年全天销售额……神秘新职业一战成名！</td>\n",
       "      <td>2019-11-27</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>6</td>\n",
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       "      <th>1</th>\n",
       "      <td>祝贺我的同事王坚当选院士！</td>\n",
       "      <td>2019-11-22</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>6</td>\n",
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       "      <td>2019双11 FAST消费者资产运营健康度榜单发布</td>\n",
       "      <td>2019-11-20</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>6</td>\n",
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       "      <th>3</th>\n",
       "      <td>【干货】Dataphin的代码自动化如何助力商业决策</td>\n",
       "      <td>2019-11-18</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
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       "      <td>OneModel体系能给数据中台的建设带来什么？</td>\n",
       "      <td>2019-11-15</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
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       "                         title create_time  \\\n",
       "0  用时1小时，超越去年全天销售额……神秘新职业一战成名！  2019-11-27   \n",
       "1                祝贺我的同事王坚当选院士！  2019-11-22   \n",
       "2   2019双11 FAST消费者资产运营健康度榜单发布  2019-11-20   \n",
       "3   【干货】Dataphin的代码自动化如何助力商业决策  2019-11-18   \n",
       "4     OneModel体系能给数据中台的建设带来什么？  2019-11-15   \n",
       "\n",
       "                                                link  page  \n",
       "0  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...     6  \n",
       "1  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...     6  \n",
       "2  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...     6  \n",
       "3  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...     6  \n",
       "4  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...     6  "
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       "      <th>0</th>\n",
       "      <td>愿望一一实现！</td>\n",
       "      <td>2019-11-12</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>7</td>\n",
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       "      <th>1</th>\n",
       "      <td>息息相关的两大体系：数据中台与业务系统</td>\n",
       "      <td>2019-11-06</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>7</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>详解阿里云数据中台，一篇文章全面了解大数据“网红”</td>\n",
       "      <td>2019-11-04</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>7</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>双11总有数据陪伴</td>\n",
       "      <td>2019-10-31</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>7</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>世界青年科学家峰会：数据中台正成为企业数字化转型的重要引擎</td>\n",
       "      <td>2019-10-29</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
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       "                           title create_time  \\\n",
       "0                        愿望一一实现！  2019-11-12   \n",
       "1            息息相关的两大体系：数据中台与业务系统  2019-11-06   \n",
       "2      详解阿里云数据中台，一篇文章全面了解大数据“网红”  2019-11-04   \n",
       "3                      双11总有数据陪伴  2019-10-31   \n",
       "4  世界青年科学家峰会：数据中台正成为企业数字化转型的重要引擎  2019-10-29   \n",
       "\n",
       "                                                link  page  \n",
       "0  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...     7  \n",
       "1  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...     7  \n",
       "2  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...     7  \n",
       "3  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...     7  \n",
       "4  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...     7  "
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       "      <th>0</th>\n",
       "      <td>大咖云集的乌镇峰会上，阿里巴巴数据中台喜获殊荣</td>\n",
       "      <td>2019-10-22</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>8</td>\n",
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       "      <th>1</th>\n",
       "      <td>天猫小家电、阿里数据联合中国家电研究院发布《2019年新兴小家电发展趋势白皮书》</td>\n",
       "      <td>2019-10-15</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>人人从从从众众众分论坛——智能数据中台核心观点</td>\n",
       "      <td>2019-09-26</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>一张图看懂2019云栖大会DAY1</td>\n",
       "      <td>2019-09-25</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>8</td>\n",
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       "      <th>4</th>\n",
       "      <td>云栖大会首日，智能数据中台专场分论坛等你来</td>\n",
       "      <td>2019-09-24</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
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       "                                      title create_time  \\\n",
       "0                   大咖云集的乌镇峰会上，阿里巴巴数据中台喜获殊荣  2019-10-22   \n",
       "1  天猫小家电、阿里数据联合中国家电研究院发布《2019年新兴小家电发展趋势白皮书》  2019-10-15   \n",
       "2                   人人从从从众众众分论坛——智能数据中台核心观点  2019-09-26   \n",
       "3                         一张图看懂2019云栖大会DAY1  2019-09-25   \n",
       "4                     云栖大会首日，智能数据中台专场分论坛等你来  2019-09-24   \n",
       "\n",
       "                                                link  page  \n",
       "0  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...     8  \n",
       "1  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...     8  \n",
       "2  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...     8  \n",
       "3  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...     8  \n",
       "4  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...     8  "
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       "      <th>0</th>\n",
       "      <td>云栖大会必备攻略，请收下这份打卡分论坛List</td>\n",
       "      <td>2019-09-20</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>9</td>\n",
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       "      <th>1</th>\n",
       "      <td>9月10日，阿里巴巴将公布新六脉神剑</td>\n",
       "      <td>2019-09-05</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>9</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>超神秘数据中台，CEO们来阿里都要翻牌</td>\n",
       "      <td>2019-09-03</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>【技术分享】算法是如何更智能地发现异常商业数据的？</td>\n",
       "      <td>2019-08-21</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>9</td>\n",
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       "      <th>4</th>\n",
       "      <td>阿里巴巴朋新宇：为何中台能帮企业突破增长瓶颈？</td>\n",
       "      <td>2019-08-13</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>9</td>\n",
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       "                       title create_time  \\\n",
       "0    云栖大会必备攻略，请收下这份打卡分论坛List  2019-09-20   \n",
       "1         9月10日，阿里巴巴将公布新六脉神剑  2019-09-05   \n",
       "2        超神秘数据中台，CEO们来阿里都要翻牌  2019-09-03   \n",
       "3  【技术分享】算法是如何更智能地发现异常商业数据的？  2019-08-21   \n",
       "4    阿里巴巴朋新宇：为何中台能帮企业突破增长瓶颈？  2019-08-13   \n",
       "\n",
       "                                                link  page  \n",
       "0  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...     9  \n",
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       "3  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...     9  \n",
       "4  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...     9  "
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       "      <th>0</th>\n",
       "      <td>听说因为数字经济，有了7种新的示爱方式</td>\n",
       "      <td>2019-08-07</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>10</td>\n",
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       "      <th>1</th>\n",
       "      <td>都讲数据中台，听“鼻祖”阿里巴巴正本清源</td>\n",
       "      <td>2019-08-05</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>10</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>阿里巴巴点亮夜经济：夜间网购消费占比36%，线下吃出城市“副中心”</td>\n",
       "      <td>2019-07-29</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>10</td>\n",
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       "      <th>3</th>\n",
       "      <td>拐点之年！双中台等四张王牌助力all in cloud</td>\n",
       "      <td>2019-07-26</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>10</td>\n",
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       "      <th>4</th>\n",
       "      <td>最佳实践：阿里巴巴数据中台</td>\n",
       "      <td>2019-07-26</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>10</td>\n",
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       "      <th>5</th>\n",
       "      <td>如何基于维度模型自动化生成SQL语句</td>\n",
       "      <td>2019-07-17</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
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       "                               title create_time  \\\n",
       "0                听说因为数字经济，有了7种新的示爱方式  2019-08-07   \n",
       "1               都讲数据中台，听“鼻祖”阿里巴巴正本清源  2019-08-05   \n",
       "2  阿里巴巴点亮夜经济：夜间网购消费占比36%，线下吃出城市“副中心”  2019-07-29   \n",
       "3        拐点之年！双中台等四张王牌助力all in cloud  2019-07-26   \n",
       "4                      最佳实践：阿里巴巴数据中台  2019-07-26   \n",
       "5                 如何基于维度模型自动化生成SQL语句  2019-07-17   \n",
       "\n",
       "                                                link  page  \n",
       "0  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    10  \n",
       "1  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    10  \n",
       "2  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    10  \n",
       "3  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    10  \n",
       "4  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    10  \n",
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       "      <th>0</th>\n",
       "      <td>9月25日，杭州云栖大会智能数据中台专场分论坛见！</td>\n",
       "      <td>2019-07-12</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>企业数字化转型报告：四种类型企业与它们的数据运用现状</td>\n",
       "      <td>2019-07-01</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>11</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>数智教育大赛落幕 可视化Quick BI产品助力教育升级</td>\n",
       "      <td>2019-07-01</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>11</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>分享图片</td>\n",
       "      <td>2019-06-25</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>11</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>第二届数字化转型论坛 阿里首度披露企业数据中台三大战略支点</td>\n",
       "      <td>2019-06-24</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>【活动预告】“网红”科技—数据中台，离你的企业有多远？</td>\n",
       "      <td>2019-06-19</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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       "                           title create_time  \\\n",
       "0      9月25日，杭州云栖大会智能数据中台专场分论坛见！  2019-07-12   \n",
       "1     企业数字化转型报告：四种类型企业与它们的数据运用现状  2019-07-01   \n",
       "2   数智教育大赛落幕 可视化Quick BI产品助力教育升级  2019-07-01   \n",
       "3                           分享图片  2019-06-25   \n",
       "4  第二届数字化转型论坛 阿里首度披露企业数据中台三大战略支点  2019-06-24   \n",
       "5    【活动预告】“网红”科技—数据中台，离你的企业有多远？  2019-06-19   \n",
       "\n",
       "                                                link  page  \n",
       "0  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    11  \n",
       "1  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    11  \n",
       "2  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    11  \n",
       "3  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    11  \n",
       "4  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    11  \n",
       "5  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    11  "
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       "      <th>0</th>\n",
       "      <td>第二届“数字化转型——数据赋能”高峰论坛本周日即将揭幕</td>\n",
       "      <td>2019-06-17</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>BI领域的分析利器交叉表使用详解</td>\n",
       "      <td>2019-06-12</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>12</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>如何建立多层次多粒度取数模型</td>\n",
       "      <td>2019-06-05</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>阿里数据联合天猫发布《2018明星网络消费影响力排行榜》：吴亦凡成新任带货王</td>\n",
       "      <td>2019-05-20</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>12</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>博物馆文创哪家强，看《2018年天猫博物馆文创数据报告》</td>\n",
       "      <td>2019-05-17</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>12</td>\n",
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       "                                    title create_time  \\\n",
       "0             第二届“数字化转型——数据赋能”高峰论坛本周日即将揭幕  2019-06-17   \n",
       "1                        BI领域的分析利器交叉表使用详解  2019-06-12   \n",
       "2                          如何建立多层次多粒度取数模型  2019-06-05   \n",
       "3  阿里数据联合天猫发布《2018明星网络消费影响力排行榜》：吴亦凡成新任带货王  2019-05-20   \n",
       "4            博物馆文创哪家强，看《2018年天猫博物馆文创数据报告》  2019-05-17   \n",
       "\n",
       "                                                link  page  \n",
       "0  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    12  \n",
       "1  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    12  \n",
       "2  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    12  \n",
       "3  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    12  \n",
       "4  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    12  "
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       "      <th>0</th>\n",
       "      <td>造风！阿里巴巴2019财年Q4及全年业绩强劲增长</td>\n",
       "      <td>2019-05-16</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>13</td>\n",
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       "      <th>1</th>\n",
       "      <td>如何打造个性化的行级权限管控机制</td>\n",
       "      <td>2019-05-15</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>13</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>阿里大数据能力集大成者Dataphin开启公共云公测</td>\n",
       "      <td>2019-05-09</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>13</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>【干货】电商数据中台如何构建？</td>\n",
       "      <td>2019-04-04</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>13</td>\n",
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       "      <th>4</th>\n",
       "      <td>阿里巴巴知识引擎技术解密，五大模块达成可解释AI</td>\n",
       "      <td>2019-03-27</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
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       "                        title create_time  \\\n",
       "0    造风！阿里巴巴2019财年Q4及全年业绩强劲增长  2019-05-16   \n",
       "1            如何打造个性化的行级权限管控机制  2019-05-15   \n",
       "2  阿里大数据能力集大成者Dataphin开启公共云公测  2019-05-09   \n",
       "3             【干货】电商数据中台如何构建？  2019-04-04   \n",
       "4    阿里巴巴知识引擎技术解密，五大模块达成可解释AI  2019-03-27   \n",
       "\n",
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       "      <td>新世界由你造，2019阿里数据校招来啦！</td>\n",
       "      <td>2019-03-18</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>14</td>\n",
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       "      <td>90后女性1/3剁手为他人，80后女性撑起全家人“衣食住行”</td>\n",
       "      <td>2019-03-08</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
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       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
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       "      <td>2018-09-28</td>\n",
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       "                            title create_time  \\\n",
       "0            新世界由你造，2019阿里数据校招来啦！  2019-03-18   \n",
       "1  90后女性1/3剁手为他人，80后女性撑起全家人“衣食住行”  2019-03-08   \n",
       "2                比心啊！技术小姐姐们女神节快乐啊  2019-03-08   \n",
       "3      AI=爱，阿里达摩院的“谣言粉碎机”拯救了爸妈朋友圈  2019-03-05   \n",
       "4             阿里数据告诉你：昨天情人节气氛有多浓！  2019-02-15   \n",
       "5           阿里巴巴数字经济体已成中国新消费升级主引擎  2018-09-28   \n",
       "\n",
       "                                                link  page  \n",
       "0  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    14  \n",
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       "      <td>2018-09-17</td>\n",
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       "      <td>2018-08-24</td>\n",
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       "      <td>2018-08-24</td>\n",
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       "                             title create_time  \\\n",
       "0             “传承计划”之后，阿里巴巴最全管理层亮相  2018-09-17   \n",
       "1  阿里巴巴2019财年Q1财报：收入大增61%连续6季度高速增长  2018-08-24   \n",
       "2           男性网购消费报告：新一代中国精致潮男悄然崛起  2018-08-24   \n",
       "3   阿里巴巴生意参谋年度最大升级 发布三大数据产品、十大应用场景  2018-08-06   \n",
       "4             疫苗事件发生后，工程师同事们连夜做了这些  2018-07-25   \n",
       "5                    准数据人，查收一下你的邮箱  2018-07-18   \n",
       "\n",
       "                                                link  page  \n",
       "0  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    15  \n",
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       "  <tbody>\n",
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       "      <th>0</th>\n",
       "      <td>爆图给你看真容，就想Pick 一些数据小萌新</td>\n",
       "      <td>2018-07-12</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>天猫618晒出战报：各个行业成交激增，线上线下同步大爆发</td>\n",
       "      <td>2018-06-19</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>16</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>史上最大规模，天猫新零售如何爆改100家大润发？</td>\n",
       "      <td>2018-06-12</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2018年阿里数据小二资质认证全国统一考试（生意参谋卷）</td>\n",
       "      <td>2018-06-07</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>蒋凡谈淘宝走向：更简单、更普惠、更创造</td>\n",
       "      <td>2018-05-17</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
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       "</div>"
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       "                          title create_time  \\\n",
       "0        爆图给你看真容，就想Pick 一些数据小萌新  2018-07-12   \n",
       "1  天猫618晒出战报：各个行业成交激增，线上线下同步大爆发  2018-06-19   \n",
       "2      史上最大规模，天猫新零售如何爆改100家大润发？  2018-06-12   \n",
       "3  2018年阿里数据小二资质认证全国统一考试（生意参谋卷）  2018-06-07   \n",
       "4           蒋凡谈淘宝走向：更简单、更普惠、更创造  2018-05-17   \n",
       "\n",
       "                                                link  page  \n",
       "0  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    16  \n",
       "1  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    16  \n",
       "2  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    16  \n",
       "3  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    16  \n",
       "4  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    16  "
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       "      <th>0</th>\n",
       "      <td>揭秘阿里亲橙里的数据黑科技</td>\n",
       "      <td>2018-05-04</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>17</td>\n",
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       "      <td>新零售、新消费——欢迎饿了么加入阿里大家庭</td>\n",
       "      <td>2018-04-02</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>17</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>【赛事推荐】IJCAI-2018阿里妈妈国际广告算法大赛</td>\n",
       "      <td>2018-03-20</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>自信、悦己——女王的诞生，阿里数据发布《天猫38女王节消费报告》</td>\n",
       "      <td>2018-03-08</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>17</td>\n",
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       "      <th>4</th>\n",
       "      <td>这个春节,让世界过上\"中国时间\"</td>\n",
       "      <td>2018-02-22</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
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       "                              title create_time  \\\n",
       "0                     揭秘阿里亲橙里的数据黑科技  2018-05-04   \n",
       "1             新零售、新消费——欢迎饿了么加入阿里大家庭  2018-04-02   \n",
       "2      【赛事推荐】IJCAI-2018阿里妈妈国际广告算法大赛  2018-03-20   \n",
       "3  自信、悦己——女王的诞生，阿里数据发布《天猫38女王节消费报告》  2018-03-08   \n",
       "4                  这个春节,让世界过上\"中国时间\"  2018-02-22   \n",
       "\n",
       "                                                link  page  \n",
       "0  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    17  \n",
       "1  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    17  \n",
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       "3  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    17  \n",
       "4  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    17  "
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       "      <td>拜年这种事情，还是要简单直接！</td>\n",
       "      <td>2018-02-12</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>18</td>\n",
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       "      <th>1</th>\n",
       "      <td>54.53亿！阿里巴巴战略投资居然之家</td>\n",
       "      <td>2018-02-11</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>18</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2018年中国年货消费报告：健康和休闲娱乐已成年货置办首要需求</td>\n",
       "      <td>2018-02-09</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>阿里数据报告:显示国货正在借助家经济重构品牌</td>\n",
       "      <td>2018-02-08</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>18</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>阿里巴巴公布2018财年Q3业绩</td>\n",
       "      <td>2018-02-01</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
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       "                             title create_time  \\\n",
       "0                  拜年这种事情，还是要简单直接！  2018-02-12   \n",
       "1              54.53亿！阿里巴巴战略投资居然之家  2018-02-11   \n",
       "2  2018年中国年货消费报告：健康和休闲娱乐已成年货置办首要需求  2018-02-09   \n",
       "3           阿里数据报告:显示国货正在借助家经济重构品牌  2018-02-08   \n",
       "4                 阿里巴巴公布2018财年Q3业绩  2018-02-01   \n",
       "\n",
       "                                                link  page  \n",
       "0  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    18  \n",
       "1  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    18  \n",
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       "3  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    18  \n",
       "4  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    18  "
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       "      <td>2018iFashion时尚消费趋势报告：新一年时尚消费重点在这里</td>\n",
       "      <td>2018-01-22</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>19</td>\n",
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       "      <th>1</th>\n",
       "      <td>长夜漫漫，何以解忧？——“逛”“吃”“买”陪伴8000万人夜不眠</td>\n",
       "      <td>2017-12-22</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>19</td>\n",
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       "      <th>2</th>\n",
       "      <td>2018最热门的是培训业？就要结束的2017我们读了多少书？长了多少白发？答案在这里……</td>\n",
       "      <td>2017-12-21</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>19</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>阿里业务研发经典案例：另类解法，分布式一致</td>\n",
       "      <td>2017-12-08</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>19</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>90后，你们还好吗？报告显示：除了脱发，90后正在失眠！</td>\n",
       "      <td>2017-12-07</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>19</td>\n",
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       "                                          title create_time  \\\n",
       "0             2018iFashion时尚消费趋势报告：新一年时尚消费重点在这里  2018-01-22   \n",
       "1              长夜漫漫，何以解忧？——“逛”“吃”“买”陪伴8000万人夜不眠  2017-12-22   \n",
       "2  2018最热门的是培训业？就要结束的2017我们读了多少书？长了多少白发？答案在这里……  2017-12-21   \n",
       "3                         阿里业务研发经典案例：另类解法，分布式一致  2017-12-08   \n",
       "4                  90后，你们还好吗？报告显示：除了脱发，90后正在失眠！  2017-12-07   \n",
       "\n",
       "                                                link  page  \n",
       "0  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    19  \n",
       "1  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    19  \n",
       "2  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    19  \n",
       "3  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    19  \n",
       "4  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    19  "
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       "      <th>0</th>\n",
       "      <td>［推荐］承担双11万亿流量，阿里核心技术揭秘：12位大咖告诉你！</td>\n",
       "      <td>2017-12-01</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>多隆：从工程师到合伙人 | 阿里技术人纪录片</td>\n",
       "      <td>2017-11-30</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>20</td>\n",
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       "      <th>2</th>\n",
       "      <td>5天后，一起了解双11背后的阿里数据</td>\n",
       "      <td>2017-11-23</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>20</td>\n",
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       "      <th>3</th>\n",
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       "      <td>2017-11-23</td>\n",
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       "      <td>20</td>\n",
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       "      <th>4</th>\n",
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       "      <td>2017-11-21</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>20</td>\n",
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       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>数据人们，奚梦瑶你们都认识了吧？淘宝带货第一的那个超模</td>\n",
       "      <td>2017-11-21</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>20</td>\n",
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       "      <th>6</th>\n",
       "      <td>喝着茶的双11技术人，其实背后是这样的……</td>\n",
       "      <td>2017-11-20</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>20</td>\n",
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      "text/plain": [
       "                              title create_time  \\\n",
       "0  ［推荐］承担双11万亿流量，阿里核心技术揭秘：12位大咖告诉你！  2017-12-01   \n",
       "1            多隆：从工程师到合伙人 | 阿里技术人纪录片  2017-11-30   \n",
       "2                5天后，一起了解双11背后的阿里数据  2017-11-23   \n",
       "3             ［新书推荐］逆流而上：阿里巴巴技术成长之路  2017-11-23   \n",
       "4               轻松hold住双11数据洪峰背后的秘密  2017-11-21   \n",
       "5       数据人们，奚梦瑶你们都认识了吧？淘宝带货第一的那个超模  2017-11-21   \n",
       "6             喝着茶的双11技术人，其实背后是这样的……  2017-11-20   \n",
       "\n",
       "                                                link  page  \n",
       "0  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    20  \n",
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       "4  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    20  \n",
       "5  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    20  \n",
       "6  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    20  "
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       "      <th>0</th>\n",
       "      <td>Hi,继网红报告之后，我们又研究了明星带货能力</td>\n",
       "      <td>2017-10-30</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>21</td>\n",
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       "      <th>1</th>\n",
       "      <td>阿里数据：全国近3000万爸妈爱“剁手”，80后、90后的爸妈战斗力地表最强</td>\n",
       "      <td>2017-10-26</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>21</td>\n",
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       "      <th>2</th>\n",
       "      <td>EB级数据资产如何管理 ——云栖大会阿里大数据分论坛精彩演讲3</td>\n",
       "      <td>2017-10-23</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>21</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>EB级别体量之下的高效数据赋能 ——云栖大会阿里大数据分论坛精彩演讲2</td>\n",
       "      <td>2017-10-18</td>\n",
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       "      <td>21</td>\n",
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       "      <th>4</th>\n",
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       "      <td>2017-10-17</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
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       "                                     title create_time  \\\n",
       "0                  Hi,继网红报告之后，我们又研究了明星带货能力  2017-10-30   \n",
       "1   阿里数据：全国近3000万爸妈爱“剁手”，80后、90后的爸妈战斗力地表最强  2017-10-26   \n",
       "2          EB级数据资产如何管理 ——云栖大会阿里大数据分论坛精彩演讲3  2017-10-23   \n",
       "3      EB级别体量之下的高效数据赋能 ——云栖大会阿里大数据分论坛精彩演讲2  2017-10-18   \n",
       "4  降本、赋能、链接：阿里巴巴全域数据建设 ——云栖大会阿里大数据分论坛精彩演讲1  2017-10-17   \n",
       "\n",
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       "4  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    21  "
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       "      <th>0</th>\n",
       "      <td>云栖大会首日，超人气分论坛——阿里大数据分论坛讲了这些内容</td>\n",
       "      <td>2017-10-13</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>22</td>\n",
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       "      <th>1</th>\n",
       "      <td>阿里巴巴成立“达摩院” 引入顶尖科学家3年研发投入将超千亿</td>\n",
       "      <td>2017-10-13</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>22</td>\n",
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       "      <th>2</th>\n",
       "      <td>距离人人人的大会还有2天！大数据分论坛剧透了</td>\n",
       "      <td>2017-10-09</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>22</td>\n",
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       "      <th>3</th>\n",
       "      <td>中秋节，我们给数据人的大礼在此！</td>\n",
       "      <td>2017-10-04</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>22</td>\n",
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       "      <th>4</th>\n",
       "      <td>吃月饼就好比点盖浇饭，还有什么浇头是不能加的？</td>\n",
       "      <td>2017-09-29</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>22</td>\n",
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       "      <th>5</th>\n",
       "      <td>三千烦恼丝，几岁开始掉？“拯救脱发趣味白皮书”告诉你</td>\n",
       "      <td>2017-09-20</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>22</td>\n",
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       "                           title create_time  \\\n",
       "0  云栖大会首日，超人气分论坛——阿里大数据分论坛讲了这些内容  2017-10-13   \n",
       "1  阿里巴巴成立“达摩院” 引入顶尖科学家3年研发投入将超千亿  2017-10-13   \n",
       "2         距离人人人的大会还有2天！大数据分论坛剧透了  2017-10-09   \n",
       "3               中秋节，我们给数据人的大礼在此！  2017-10-04   \n",
       "4        吃月饼就好比点盖浇饭，还有什么浇头是不能加的？  2017-09-29   \n",
       "5     三千烦恼丝，几岁开始掉？“拯救脱发趣味白皮书”告诉你  2017-09-20   \n",
       "\n",
       "                                                link  page  \n",
       "0  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    22  \n",
       "1  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    22  \n",
       "2  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    22  \n",
       "3  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    22  \n",
       "4  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    22  \n",
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       "      <th>0</th>\n",
       "      <td>我们承包了云栖大会阿里大数据专场，10月11日请你来</td>\n",
       "      <td>2017-09-14</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>23</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>用数据找到撬动新零售的支点</td>\n",
       "      <td>2017-09-01</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>阿里发布“七夕单身生存指南”：避开恋人高频出没地，咱们“单身”有力量！</td>\n",
       "      <td>2017-08-28</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>昨天公布的“网红一姐”，排行榜和逻辑都在这里！</td>\n",
       "      <td>2017-08-22</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>[连载]《大数据之路：阿里巴巴大数据实践》之日志采集</td>\n",
       "      <td>2017-08-21</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
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       "                                 title create_time  \\\n",
       "0           我们承包了云栖大会阿里大数据专场，10月11日请你来  2017-09-14   \n",
       "1                        用数据找到撬动新零售的支点  2017-09-01   \n",
       "2  阿里发布“七夕单身生存指南”：避开恋人高频出没地，咱们“单身”有力量！  2017-08-28   \n",
       "3              昨天公布的“网红一姐”，排行榜和逻辑都在这里！  2017-08-22   \n",
       "4           [连载]《大数据之路：阿里巴巴大数据实践》之日志采集  2017-08-21   \n",
       "\n",
       "                                                link  page  \n",
       "0  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    23  \n",
       "1  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    23  \n",
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       "3  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    23  \n",
       "4  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    23  "
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       "      <th>0</th>\n",
       "      <td>技术控的烧脑题第一期2位高手请来领奖</td>\n",
       "      <td>2017-08-17</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>24</td>\n",
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       "      <th>1</th>\n",
       "      <td>［推荐］2017上海·大数据与分析创新峰会</td>\n",
       "      <td>2017-08-17</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>人人都在谈的新零售，到底是什么？</td>\n",
       "      <td>2017-08-16</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>淘汰率高达99%  25家零售商即将直播争做“数据先锋”</td>\n",
       "      <td>2017-08-15</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>24</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>[原创干货]商业场景下的数据营销</td>\n",
       "      <td>2017-08-14</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>24</td>\n",
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       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>［活动］阿里团队首度公开大数据系统架构及技术细节！</td>\n",
       "      <td>2017-08-14</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>24</td>\n",
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       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>雪糕数据告诉你，东北网红变身魔都名媛拢共分几步</td>\n",
       "      <td>2017-08-09</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>24</td>\n",
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       "                          title create_time  \\\n",
       "0            技术控的烧脑题第一期2位高手请来领奖  2017-08-17   \n",
       "1         ［推荐］2017上海·大数据与分析创新峰会  2017-08-17   \n",
       "2              人人都在谈的新零售，到底是什么？  2017-08-16   \n",
       "3  淘汰率高达99%  25家零售商即将直播争做“数据先锋”  2017-08-15   \n",
       "4              [原创干货]商业场景下的数据营销  2017-08-14   \n",
       "5     ［活动］阿里团队首度公开大数据系统架构及技术细节！  2017-08-14   \n",
       "6       雪糕数据告诉你，东北网红变身魔都名媛拢共分几步  2017-08-09   \n",
       "\n",
       "                                                link  page  \n",
       "0  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    24  \n",
       "1  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    24  \n",
       "2  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    24  \n",
       "3  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    24  \n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>【数据干货】骗子开始下西洋</td>\n",
       "      <td>2017-08-03</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>技术控的烧脑题：请你来回答！</td>\n",
       "      <td>2017-08-02</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>每天都有上百万人探寻减肥之道，然而……</td>\n",
       "      <td>2017-07-26</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>阿里巴巴第二届数据先锋商家全国评选活动200强入围名单公布</td>\n",
       "      <td>2017-07-21</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>全球技术人看过来，阿里巴巴创新研究计划招募合作者</td>\n",
       "      <td>2017-07-19</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
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       "                           title create_time  \\\n",
       "0                  【数据干货】骗子开始下西洋  2017-08-03   \n",
       "1                 技术控的烧脑题：请你来回答！  2017-08-02   \n",
       "2            每天都有上百万人探寻减肥之道，然而……  2017-07-26   \n",
       "3  阿里巴巴第二届数据先锋商家全国评选活动200强入围名单公布  2017-07-21   \n",
       "4       全球技术人看过来，阿里巴巴创新研究计划招募合作者  2017-07-19   \n",
       "\n",
       "                                                link  page  \n",
       "0  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    25  \n",
       "1  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    25  \n",
       "2  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    25  \n",
       "3  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    25  \n",
       "4  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    25  "
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       "      <th>0</th>\n",
       "      <td>第二届数据先锋商家全国评选进行中</td>\n",
       "      <td>2017-07-12</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>浅析阿里数据技术架构（下）大规模分布式知识图谱</td>\n",
       "      <td>2017-07-06</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>26</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>浅析阿里数据新能源技术架构（上）</td>\n",
       "      <td>2017-07-04</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>天猫618，一大波酷炫黑科技亮相</td>\n",
       "      <td>2017-06-21</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>26</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>上市啦！！｜《大数据之路：阿里巴巴大数据实践》来了</td>\n",
       "      <td>2017-06-20</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
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       "                       title create_time  \\\n",
       "0           第二届数据先锋商家全国评选进行中  2017-07-12   \n",
       "1    浅析阿里数据技术架构（下）大规模分布式知识图谱  2017-07-06   \n",
       "2           浅析阿里数据新能源技术架构（上）  2017-07-04   \n",
       "3           天猫618，一大波酷炫黑科技亮相  2017-06-21   \n",
       "4  上市啦！！｜《大数据之路：阿里巴巴大数据实践》来了  2017-06-20   \n",
       "\n",
       "                                                link  page  \n",
       "0  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    26  \n",
       "1  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    26  \n",
       "2  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    26  \n",
       "3  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    26  \n",
       "4  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    26  "
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       "      <td>［R语言趣味实验］数据人教你如何看房价</td>\n",
       "      <td>2017-06-12</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>27</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>这5篇阿里数据人的论文凭什么征服KDD评委？</td>\n",
       "      <td>2017-06-06</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
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       "      <th>2</th>\n",
       "      <td>儿童节礼物来了！</td>\n",
       "      <td>2017-06-01</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>27</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>为了过这个粉红色日子，很多人3天前开始狂搜狂买了</td>\n",
       "      <td>2017-05-20</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>阿里数据第一本书——封面你定</td>\n",
       "      <td>2017-05-16</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>​＃福利＃玩游戏送门票</td>\n",
       "      <td>2017-05-16</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>27</td>\n",
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       "                      title create_time  \\\n",
       "0       ［R语言趣味实验］数据人教你如何看房价  2017-06-12   \n",
       "1    这5篇阿里数据人的论文凭什么征服KDD评委？  2017-06-06   \n",
       "2                  儿童节礼物来了！  2017-06-01   \n",
       "3  为了过这个粉红色日子，很多人3天前开始狂搜狂买了  2017-05-20   \n",
       "4            阿里数据第一本书——封面你定  2017-05-16   \n",
       "5               ​＃福利＃玩游戏送门票  2017-05-16   \n",
       "\n",
       "                                                link  page  \n",
       "0  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    27  \n",
       "1  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    27  \n",
       "2  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    27  \n",
       "3  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    27  \n",
       "4  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    27  \n",
       "5  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    27  "
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       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>浅析阿里巴巴数据挖掘中台体系</td>\n",
       "      <td>2017-05-10</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>28</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>［活动推荐］2017UBDC全域大数据峰会即将启幕</td>\n",
       "      <td>2017-05-05</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>28</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>半亿人跻身空巢青年 爱分享重社交</td>\n",
       "      <td>2017-05-03</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>28</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>中国空巢青年图鉴</td>\n",
       "      <td>2017-05-03</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>28</td>\n",
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       "      <th>4</th>\n",
       "      <td>用AI做设计，大数据赋予设计更多想象空间</td>\n",
       "      <td>2017-04-27</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>28</td>\n",
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       "      <th>5</th>\n",
       "      <td>阿里巴巴日志采集体系之浏览器的页面日志采集</td>\n",
       "      <td>2017-04-25</td>\n",
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       "      <td>28</td>\n",
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       "                       title create_time  \\\n",
       "0             浅析阿里巴巴数据挖掘中台体系  2017-05-10   \n",
       "1  ［活动推荐］2017UBDC全域大数据峰会即将启幕  2017-05-05   \n",
       "2           半亿人跻身空巢青年 爱分享重社交  2017-05-03   \n",
       "3                   中国空巢青年图鉴  2017-05-03   \n",
       "4       用AI做设计，大数据赋予设计更多想象空间  2017-04-27   \n",
       "5      阿里巴巴日志采集体系之浏览器的页面日志采集  2017-04-25   \n",
       "\n",
       "                                                link  page  \n",
       "0  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    28  \n",
       "1  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    28  \n",
       "2  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    28  \n",
       "3  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    28  \n",
       "4  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    28  \n",
       "5  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    28  "
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       "      <td>推荐 | 《尽在双11：阿里巴巴技术演进与超越》重磅预售！</td>\n",
       "      <td>2017-03-23</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>29</td>\n",
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       "      <td>解密阿里巴巴对内数据产品平台</td>\n",
       "      <td>2017-03-22</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
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       "      <td>2017-03-16</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>29</td>\n",
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       "      <td>2017-03-07</td>\n",
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       "                           title create_time  \\\n",
       "0  推荐 | 《尽在双11：阿里巴巴技术演进与超越》重磅预售！  2017-03-23   \n",
       "1                 解密阿里巴巴对内数据产品平台  2017-03-22   \n",
       "2       “NASA”计划背后，阿里巴巴大数据系统架构概述  2017-03-16   \n",
       "3    马云启动“NASA”计划 为未来20年愿景研发核心科技  2017-03-13   \n",
       "4   马云谏言两会代表：销售一件假货拘留七天，制造一件假货入刑  2017-03-07   \n",
       "\n",
       "                                                link  page  \n",
       "0  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    29  \n",
       "1  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    29  \n",
       "2  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    29  \n",
       "3  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    29  \n",
       "4  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    29  "
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       "      <th>0</th>\n",
       "      <td>阿里曾鸣：互联网公司本质上都是人工智能企业, 数据就是决策</td>\n",
       "      <td>2017-02-22</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>30</td>\n",
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       "      <th>1</th>\n",
       "      <td>防火防盗防亲戚还不够，防霾才是这个春节的重点！ | 2017中国年货大数据报告图解</td>\n",
       "      <td>2017-01-25</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>30</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2017中国年货消费数据，记录地球上最大规模的人口迁徙</td>\n",
       "      <td>2017-01-24</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2017中国年货大数据报告发布</td>\n",
       "      <td>2017-01-23</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>技术干货分享：前端缓存如何助力性能大提升</td>\n",
       "      <td>2017-01-16</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>30</td>\n",
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       "                                       title create_time  \\\n",
       "0              阿里曾鸣：互联网公司本质上都是人工智能企业, 数据就是决策  2017-02-22   \n",
       "1  防火防盗防亲戚还不够，防霾才是这个春节的重点！ | 2017中国年货大数据报告图解  2017-01-25   \n",
       "2                2017中国年货消费数据，记录地球上最大规模的人口迁徙  2017-01-24   \n",
       "3                            2017中国年货大数据报告发布  2017-01-23   \n",
       "4                       技术干货分享：前端缓存如何助力性能大提升  2017-01-16   \n",
       "\n",
       "                                                link  page  \n",
       "0  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    30  \n",
       "1  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    30  \n",
       "2  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    30  \n",
       "3  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    30  \n",
       "4  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    30  "
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       "      <th>0</th>\n",
       "      <td>年底了，想和你谈点事儿</td>\n",
       "      <td>2017-01-12</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>31</td>\n",
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       "      <th>1</th>\n",
       "      <td>双11技术电子书精彩内容节选--大数据技术篇</td>\n",
       "      <td>2017-01-04</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>31</td>\n",
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       "      <td>奇书：《阿里巴巴2016双11背后的技术》</td>\n",
       "      <td>2016-12-27</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>读懂3.28亿“白骨精”与“白素贞”的内心</td>\n",
       "      <td>2016-12-22</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>31</td>\n",
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       "      <td>生命不息 ，“恋爱”不止，招人过节</td>\n",
       "      <td>2016-12-14</td>\n",
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       "                    title create_time  \\\n",
       "0             年底了，想和你谈点事儿  2017-01-12   \n",
       "1  双11技术电子书精彩内容节选--大数据技术篇  2017-01-04   \n",
       "2   奇书：《阿里巴巴2016双11背后的技术》  2016-12-27   \n",
       "3   读懂3.28亿“白骨精”与“白素贞”的内心  2016-12-22   \n",
       "4       生命不息 ，“恋爱”不止，招人过节  2016-12-14   \n",
       "\n",
       "                                                link  page  \n",
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       "3  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    31  \n",
       "4  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    31  "
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       "      <th>0</th>\n",
       "      <td>如何开采马云口中的“新能源”？看阿里数据掌舵人朋新宇怎么说</td>\n",
       "      <td>2016-12-06</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>32</td>\n",
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       "      <th>1</th>\n",
       "      <td>独家 | 1207亿元背后：阿里数据生态首度曝光</td>\n",
       "      <td>2016-12-06</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>32</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>阿里数据中心4大硬件创新实践——双11坚实后盾</td>\n",
       "      <td>2016-11-29</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>32</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>［重磅］Apache基金会宣布接收阿里消息中间件RocketMQ为孵化项目</td>\n",
       "      <td>2016-11-28</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>32</td>\n",
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       "      <th>4</th>\n",
       "      <td>8位阿里技术大V解密双11背后的技术力量</td>\n",
       "      <td>2016-11-23</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>32</td>\n",
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       "      <td>［安利］一个近距离了解阿里数据的活动</td>\n",
       "      <td>2016-11-22</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>32</td>\n",
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       "                                   title create_time  \\\n",
       "0          如何开采马云口中的“新能源”？看阿里数据掌舵人朋新宇怎么说  2016-12-06   \n",
       "1               独家 | 1207亿元背后：阿里数据生态首度曝光  2016-12-06   \n",
       "2                阿里数据中心4大硬件创新实践——双11坚实后盾  2016-11-29   \n",
       "3  ［重磅］Apache基金会宣布接收阿里消息中间件RocketMQ为孵化项目  2016-11-28   \n",
       "4                   8位阿里技术大V解密双11背后的技术力量  2016-11-23   \n",
       "5                     ［安利］一个近距离了解阿里数据的活动  2016-11-22   \n",
       "\n",
       "                                                link  page  \n",
       "0  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    32  \n",
       "1  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    32  \n",
       "2  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    32  \n",
       "3  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    32  \n",
       "4  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    32  \n",
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       "      <td>2016年Q3中国移动互联网发展报告</td>\n",
       "      <td>2016-11-17</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>33</td>\n",
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       "      <td>［干货］1207亿元背后的数据技术生态解析</td>\n",
       "      <td>2016-11-16</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>33</td>\n",
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       "      <td>聚焦11.11：全球狂欢节背后的广告投放大爬梯！</td>\n",
       "      <td>2016-11-15</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>33</td>\n",
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       "      <td>最后：1207亿元！棒呆！</td>\n",
       "      <td>2016-11-12</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
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       "      <td>2016-11-09</td>\n",
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       "      <td>33</td>\n",
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       "                                      title create_time  \\\n",
       "0                        2016年Q3中国移动互联网发展报告  2016-11-17   \n",
       "1                     ［干货］1207亿元背后的数据技术生态解析  2016-11-16   \n",
       "2                  聚焦11.11：全球狂欢节背后的广告投放大爬梯！  2016-11-15   \n",
       "3                             最后：1207亿元！棒呆！  2016-11-12   \n",
       "4  一天5个亿，三只松鼠2016双11目标曝光！此外还有三星家电、珍视明、波奇网……  2016-11-09   \n",
       "\n",
       "                                                link  page  \n",
       "0  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    33  \n",
       "1  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    33  \n",
       "2  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    33  \n",
       "3  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    33  \n",
       "4  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    33  "
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       "      <td>2016-11-08</td>\n",
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       "      <td>34</td>\n",
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       "      <td>2016-11-01</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
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       "      <th>2</th>\n",
       "      <td>想看数据？又有新功能可以用了！</td>\n",
       "      <td>2016-10-27</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>34</td>\n",
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       "      <th>3</th>\n",
       "      <td>如何在短短48小时内用云计算给地球做B超？</td>\n",
       "      <td>2016-10-25</td>\n",
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       "      <td>2016-10-20</td>\n",
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       "                   title create_time  \\\n",
       "0       ＃双11剧透＃好大一颗八心八箭～  2016-11-08   \n",
       "1       双十一倒计时，剧透一个作战大屏！  2016-11-01   \n",
       "2        想看数据？又有新功能可以用了！  2016-10-27   \n",
       "3  如何在短短48小时内用云计算给地球做B超？  2016-10-25   \n",
       "4     天猫双11玩法抢先看 | 附狂欢宝典  2016-10-20   \n",
       "\n",
       "                                                link  page  \n",
       "0  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    34  \n",
       "1  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    34  \n",
       "2  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    34  \n",
       "3  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    34  \n",
       "4  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    34  "
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       "      <th>0</th>\n",
       "      <td>一根高尔夫球杆背后的数据智能——阿里CTO演讲全文</td>\n",
       "      <td>2016-10-19</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>35</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>云栖大会上马云说“新五通一平”将引领未来</td>\n",
       "      <td>2016-10-13</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>35</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>［本文很干］语音技术最新进展汇总</td>\n",
       "      <td>2016-10-12</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>35</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>word天，还有1个月，流量的事儿想清楚了吗？</td>\n",
       "      <td>2016-10-10</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>35</td>\n",
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       "      <th>4</th>\n",
       "      <td>今天你摇到号了么：让机器学习帮你预测一下</td>\n",
       "      <td>2016-09-26</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>35</td>\n",
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       "                       title create_time  \\\n",
       "0  一根高尔夫球杆背后的数据智能——阿里CTO演讲全文  2016-10-19   \n",
       "1       云栖大会上马云说“新五通一平”将引领未来  2016-10-13   \n",
       "2           ［本文很干］语音技术最新进展汇总  2016-10-12   \n",
       "3    word天，还有1个月，流量的事儿想清楚了吗？  2016-10-10   \n",
       "4       今天你摇到号了么：让机器学习帮你预测一下  2016-09-26   \n",
       "\n",
       "                                                link  page  \n",
       "0  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    35  \n",
       "1  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    35  \n",
       "2  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    35  \n",
       "3  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    35  \n",
       "4  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    35  "
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       "      <th>0</th>\n",
       "      <td>阿里CEO张勇:网络安全核心是大数据</td>\n",
       "      <td>2016-09-20</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>阿里一年建了两座世界级数据中心</td>\n",
       "      <td>2016-09-18</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>备战双11你准备好了吗？</td>\n",
       "      <td>2016-09-08</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>送点礼给你，敢接吗？生意参谋5周年狂欢3重豪礼，限时抢购！</td>\n",
       "      <td>2016-08-31</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>时光不老，找你的心不停！又要找同桌了……</td>\n",
       "      <td>2016-08-25</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>36</td>\n",
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       "                           title create_time  \\\n",
       "0             阿里CEO张勇:网络安全核心是大数据  2016-09-20   \n",
       "1                阿里一年建了两座世界级数据中心  2016-09-18   \n",
       "2                   备战双11你准备好了吗？  2016-09-08   \n",
       "3  送点礼给你，敢接吗？生意参谋5周年狂欢3重豪礼，限时抢购！  2016-08-31   \n",
       "4           时光不老，找你的心不停！又要找同桌了……  2016-08-25   \n",
       "\n",
       "                                                link  page  \n",
       "0  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    36  \n",
       "1  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    36  \n",
       "2  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    36  \n",
       "3  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    36  \n",
       "4  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    36  "
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       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>热到不行的VR，究竟怎么样？——VR行业报告出炉</td>\n",
       "      <td>2016-08-24</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>【速读】数据＋关键词，告诉你今年双11晚会这么玩！</td>\n",
       "      <td>2016-08-16</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2张数据图帮你解读阿里Q1财报：同比增长59%全面超预期</td>\n",
       "      <td>2016-08-11</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>生意参谋2.0上线新功能全面盘点</td>\n",
       "      <td>2016-08-10</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>阿里CTO张建锋上任4个月后，首次系统阐述了阿里技术布局</td>\n",
       "      <td>2016-08-08</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>37</td>\n",
       "    </tr>\n",
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      "text/plain": [
       "                          title create_time  \\\n",
       "0      热到不行的VR，究竟怎么样？——VR行业报告出炉  2016-08-24   \n",
       "1     【速读】数据＋关键词，告诉你今年双11晚会这么玩！  2016-08-16   \n",
       "2  2张数据图帮你解读阿里Q1财报：同比增长59%全面超预期  2016-08-11   \n",
       "3              生意参谋2.0上线新功能全面盘点  2016-08-10   \n",
       "4  阿里CTO张建锋上任4个月后，首次系统阐述了阿里技术布局  2016-08-08   \n",
       "\n",
       "                                                link  page  \n",
       "0  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    37  \n",
       "1  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    37  \n",
       "2  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    37  \n",
       "3  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    37  \n",
       "4  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    37  "
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>用数据解决数据的问题</td>\n",
       "      <td>2016-08-06</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>38</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>会算法的学霸你在哪里，阿算在找你</td>\n",
       "      <td>2016-07-26</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>生意参谋8月升级 竞争情报新功能提前曝光</td>\n",
       "      <td>2016-07-21</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>数据选款并不难，这家女装店铺销量增长了100%</td>\n",
       "      <td>2016-07-19</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>38</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>阿里数据中台负责人：数据成赋能商家新能源</td>\n",
       "      <td>2016-07-08</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>38</td>\n",
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       "      <th>5</th>\n",
       "      <td>［案例干货］“三只松鼠”们如何通过数据创下一个个销售奇迹？</td>\n",
       "      <td>2016-07-08</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>38</td>\n",
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       "      <th>6</th>\n",
       "      <td>［消息］“生意参谋”平台即将升级 为商家提供全方位数据服务</td>\n",
       "      <td>2016-07-08</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>38</td>\n",
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      "text/plain": [
       "                           title create_time  \\\n",
       "0                     用数据解决数据的问题  2016-08-06   \n",
       "1               会算法的学霸你在哪里，阿算在找你  2016-07-26   \n",
       "2           生意参谋8月升级 竞争情报新功能提前曝光  2016-07-21   \n",
       "3        数据选款并不难，这家女装店铺销量增长了100%  2016-07-19   \n",
       "4           阿里数据中台负责人：数据成赋能商家新能源  2016-07-08   \n",
       "5  ［案例干货］“三只松鼠”们如何通过数据创下一个个销售奇迹？  2016-07-08   \n",
       "6  ［消息］“生意参谋”平台即将升级 为商家提供全方位数据服务  2016-07-08   \n",
       "\n",
       "                                                link  page  \n",
       "0  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    38  \n",
       "1  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    38  \n",
       "2  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    38  \n",
       "3  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    38  \n",
       "4  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    38  \n",
       "5  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    38  \n",
       "6  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    38  "
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       "      <th>0</th>\n",
       "      <td>［有活动］首届阿里巴巴在线技术峰会来了</td>\n",
       "      <td>2016-07-06</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>39</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>阿里数据：将对外开放最强大脑</td>\n",
       "      <td>2016-06-21</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>39</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>［秒杀］粉丝福利仅限20席！ | 价值1500元互联网大会通票免费送</td>\n",
       "      <td>2016-06-16</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>39</td>\n",
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       "      <th>3</th>\n",
       "      <td>推荐：Weex Workshop 挑战赛，等你来战！</td>\n",
       "      <td>2016-06-16</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>39</td>\n",
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       "      <th>4</th>\n",
       "      <td>数据宝宝们的福利 |免费拿 2016中国互联网大会入场券</td>\n",
       "      <td>2016-06-01</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>39</td>\n",
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       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>数博会现场直击——阿里巴巴大数据标准化之路</td>\n",
       "      <td>2016-05-26</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>39</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
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       "                                title create_time  \\\n",
       "0                 ［有活动］首届阿里巴巴在线技术峰会来了  2016-07-06   \n",
       "1                      阿里数据：将对外开放最强大脑  2016-06-21   \n",
       "2  ［秒杀］粉丝福利仅限20席！ | 价值1500元互联网大会通票免费送  2016-06-16   \n",
       "3          推荐：Weex Workshop 挑战赛，等你来战！  2016-06-16   \n",
       "4        数据宝宝们的福利 |免费拿 2016中国互联网大会入场券  2016-06-01   \n",
       "5               数博会现场直击——阿里巴巴大数据标准化之路  2016-05-26   \n",
       "\n",
       "                                                link  page  \n",
       "0  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    39  \n",
       "1  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    39  \n",
       "2  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    39  \n",
       "3  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    39  \n",
       "4  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    39  \n",
       "5  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    39  "
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       "      <th>0</th>\n",
       "      <td>突然收到一条信息，求破解，在线等！</td>\n",
       "      <td>2016-05-20</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>解码OneData——传说中的阿里数据中台是如何练成的？</td>\n",
       "      <td>2016-05-16</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>阿里数据中台秘密武器OneData：一个体系节省数亿元成本</td>\n",
       "      <td>2016-05-16</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>40</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>5.10阿里日到底发生了什么，一手内幕大放送</td>\n",
       "      <td>2016-05-10</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>数据解读财报：看阿里Q4如何超出华尔街预期</td>\n",
       "      <td>2016-05-05</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>阿里Q4财报超华尔街预期 业绩强劲展现中国经济活力</td>\n",
       "      <td>2016-05-05</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>阿里CTO张建锋：整合计算、数据与算法，开放技术能力</td>\n",
       "      <td>2016-04-26</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>40</td>\n",
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      "text/plain": [
       "                           title create_time  \\\n",
       "0              突然收到一条信息，求破解，在线等！  2016-05-20   \n",
       "1   解码OneData——传说中的阿里数据中台是如何练成的？  2016-05-16   \n",
       "2  阿里数据中台秘密武器OneData：一个体系节省数亿元成本  2016-05-16   \n",
       "3         5.10阿里日到底发生了什么，一手内幕大放送  2016-05-10   \n",
       "4          数据解读财报：看阿里Q4如何超出华尔街预期  2016-05-05   \n",
       "5      阿里Q4财报超华尔街预期 业绩强劲展现中国经济活力  2016-05-05   \n",
       "6     阿里CTO张建锋：整合计算、数据与算法，开放技术能力  2016-04-26   \n",
       "\n",
       "                                                link  page  \n",
       "0  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    40  \n",
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       "4  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    40  \n",
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       "      <th>0</th>\n",
       "      <td>【重磅】揭秘阿里数据中台：双11当日调用超75亿次</td>\n",
       "      <td>2016-04-21</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>41</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>首届UBDC全域大数据峰会在京举办：全域成核心焦点</td>\n",
       "      <td>2016-04-20</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>41</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>倒计时1天，UBDC全域大数据峰会·2016见</td>\n",
       "      <td>2016-04-19</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>午间读数：2016年跨境网购用户画像</td>\n",
       "      <td>2016-04-14</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>41</td>\n",
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       "      <th>4</th>\n",
       "      <td>友谊的小船不翻：全球热门行业数据案例即将亮相</td>\n",
       "      <td>2016-04-13</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>41</td>\n",
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       "                       title create_time  \\\n",
       "0  【重磅】揭秘阿里数据中台：双11当日调用超75亿次  2016-04-21   \n",
       "1  首届UBDC全域大数据峰会在京举办：全域成核心焦点  2016-04-20   \n",
       "2    倒计时1天，UBDC全域大数据峰会·2016见  2016-04-19   \n",
       "3         午间读数：2016年跨境网购用户画像  2016-04-14   \n",
       "4     友谊的小船不翻：全球热门行业数据案例即将亮相  2016-04-13   \n",
       "\n",
       "                                                link  page  \n",
       "0  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    41  \n",
       "1  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    41  \n",
       "2  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    41  \n",
       "3  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    41  \n",
       "4  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    41  "
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       "      <th>0</th>\n",
       "      <td>午间读数：阿里成全球最大零售体</td>\n",
       "      <td>2016-04-06</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>重磅 | 阿里研究院发布2015年在线商业服务生态 “五大排行榜”</td>\n",
       "      <td>2016-04-05</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>倒计时：全域大数据峰会来啦！</td>\n",
       "      <td>2016-04-05</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>新财年首日阿里任命新CTO</td>\n",
       "      <td>2016-04-01</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2016淘宝要为卖家做什么？</td>\n",
       "      <td>2016-03-30</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>42</td>\n",
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       "      <th>5</th>\n",
       "      <td>2016数据会如何助力卖家？</td>\n",
       "      <td>2016-03-30</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>42</td>\n",
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       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>精彩数据峰会报名：快抢票</td>\n",
       "      <td>2016-03-30</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>数老师第一讲：运营数据如何看？</td>\n",
       "      <td>2016-03-26</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>生意参谋2016年规划首度曝光</td>\n",
       "      <td>2016-03-26</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>42</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
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       "                               title create_time  \\\n",
       "0                    午间读数：阿里成全球最大零售体  2016-04-06   \n",
       "1  重磅 | 阿里研究院发布2015年在线商业服务生态 “五大排行榜”  2016-04-05   \n",
       "2                     倒计时：全域大数据峰会来啦！  2016-04-05   \n",
       "3                      新财年首日阿里任命新CTO  2016-04-01   \n",
       "4                     2016淘宝要为卖家做什么？  2016-03-30   \n",
       "5                     2016数据会如何助力卖家？  2016-03-30   \n",
       "6                       精彩数据峰会报名：快抢票  2016-03-30   \n",
       "7                    数老师第一讲：运营数据如何看？  2016-03-26   \n",
       "8                    生意参谋2016年规划首度曝光  2016-03-26   \n",
       "\n",
       "                                                link  page  \n",
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       "      <td>2016-03-21</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
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       "      <td>一张图读懂阿里三万亿</td>\n",
       "      <td>2016-03-21</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>43</td>\n",
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       "      <td>是你！就是你——想想都好激动！阿里数据求贤！</td>\n",
       "      <td>2016-03-17</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>43</td>\n",
       "    </tr>\n",
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       "      <th>3</th>\n",
       "      <td>又是AlphaGo，ta和商业有什么关系？</td>\n",
       "      <td>2016-03-15</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>43</td>\n",
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      "text/plain": [
       "                            title create_time  \\\n",
       "0  阿里2016财年GMV突破3万亿！全球最大“网上经济体”来了  2016-03-21   \n",
       "1                      一张图读懂阿里三万亿  2016-03-21   \n",
       "2          是你！就是你——想想都好激动！阿里数据求贤！  2016-03-17   \n",
       "3           又是AlphaGo，ta和商业有什么关系？  2016-03-15   \n",
       "\n",
       "                                                link  page  \n",
       "0  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    43  \n",
       "1  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    43  \n",
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     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "def parse_html_snippets(_snippet_):\n",
    "    root = fromstring(_snippet_)   #fromstring() 可以在解析xml格式时,将字符串转换为Element对象\n",
    "    title = [x.text for x in root.xpath('//div[@class=\"inner_link_article_title\"]')]  #标题\n",
    "    create_time = [x.text for x in root.xpath('//div[@class=\"inner_link_article_date\"]')]  #日期\n",
    "    link = [x for x in root.xpath('//a/@href')]  #链接\n",
    "    _df_ = pd.DataFrame({\"title\":title, \"create_time\": create_time, \"link\":link,\"page\":p}) #设置列名并写入DataFrame\n",
    "    return(_df_)\n",
    "    \n",
    "l_df = []\n",
    "for p in pages:\n",
    "    _df_ = parse_html_snippets(df.loc[p,\"html_snippets\"]) #第p行，列名为\"html_snippets\"的内容\n",
    "#     _df_.assign(页数=p)\n",
    "    display(_df_)\n",
    "    #print (len(_df_), end=\",\")\n",
    "    l_df.append(_df_)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>title</th>\n",
       "      <th>create_time</th>\n",
       "      <th>link</th>\n",
       "      <th>page</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>十万个“数据为什么” 阿里巴巴校招数据直播专场来啦</td>\n",
       "      <td>2020-04-24</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>史上最大品牌增长行动！天猫发布双百亿品牌新客计划</td>\n",
       "      <td>2020-04-15</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>【今日推荐】10个你需要了解的数据中台知识\\n点击阅读</td>\n",
       "      <td>2020-04-10</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>GROW 2.0品牌数字化增长白皮书​发布</td>\n",
       "      <td>2020-04-01</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>加入阿里大数据，更好的世界，更好的你！</td>\n",
       "      <td>2020-03-25</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>230</th>\n",
       "      <td>生意参谋2016年规划首度曝光</td>\n",
       "      <td>2016-03-26</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>231</th>\n",
       "      <td>阿里2016财年GMV突破3万亿！全球最大“网上经济体”来了</td>\n",
       "      <td>2016-03-21</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>232</th>\n",
       "      <td>一张图读懂阿里三万亿</td>\n",
       "      <td>2016-03-21</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>233</th>\n",
       "      <td>是你！就是你——想想都好激动！阿里数据求贤！</td>\n",
       "      <td>2016-03-17</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>234</th>\n",
       "      <td>又是AlphaGo，ta和商业有什么关系？</td>\n",
       "      <td>2016-03-15</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>43</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>235 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                              title create_time  \\\n",
       "0         十万个“数据为什么” 阿里巴巴校招数据直播专场来啦  2020-04-24   \n",
       "1          史上最大品牌增长行动！天猫发布双百亿品牌新客计划  2020-04-15   \n",
       "2       【今日推荐】10个你需要了解的数据中台知识\\n点击阅读  2020-04-10   \n",
       "3             GROW 2.0品牌数字化增长白皮书​发布  2020-04-01   \n",
       "4               加入阿里大数据，更好的世界，更好的你！  2020-03-25   \n",
       "..                              ...         ...   \n",
       "230                 生意参谋2016年规划首度曝光  2016-03-26   \n",
       "231  阿里2016财年GMV突破3万亿！全球最大“网上经济体”来了  2016-03-21   \n",
       "232                      一张图读懂阿里三万亿  2016-03-21   \n",
       "233          是你！就是你——想想都好激动！阿里数据求贤！  2016-03-17   \n",
       "234           又是AlphaGo，ta和商业有什么关系？  2016-03-15   \n",
       "\n",
       "                                                  link  page  \n",
       "0    http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...     1  \n",
       "1    http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...     1  \n",
       "2    http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...     1  \n",
       "3    http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...     1  \n",
       "4    http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...     1  \n",
       "..                                                 ...   ...  \n",
       "230  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    42  \n",
       "231  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    43  \n",
       "232  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    43  \n",
       "233  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    43  \n",
       "234  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    43  \n",
       "\n",
       "[235 rows x 4 columns]"
      ]
     },
     "execution_count": 84,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_url_out = pd.concat(l_df).reset_index(drop=True)  # 重塑表格并重设索引\n",
    "# df_url_out.loc[0:10]\n",
    "df_url_out"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>title</th>\n",
       "      <th>create_time</th>\n",
       "      <th>link</th>\n",
       "      <th>page</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>230</th>\n",
       "      <td>生意参谋2016年规划首度曝光</td>\n",
       "      <td>2016-03-26</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>231</th>\n",
       "      <td>阿里2016财年GMV突破3万亿！全球最大“网上经济体”来了</td>\n",
       "      <td>2016-03-21</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>232</th>\n",
       "      <td>一张图读懂阿里三万亿</td>\n",
       "      <td>2016-03-21</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>233</th>\n",
       "      <td>是你！就是你——想想都好激动！阿里数据求贤！</td>\n",
       "      <td>2016-03-17</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>234</th>\n",
       "      <td>又是AlphaGo，ta和商业有什么关系？</td>\n",
       "      <td>2016-03-15</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>43</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                              title create_time  \\\n",
       "230                 生意参谋2016年规划首度曝光  2016-03-26   \n",
       "231  阿里2016财年GMV突破3万亿！全球最大“网上经济体”来了  2016-03-21   \n",
       "232                      一张图读懂阿里三万亿  2016-03-21   \n",
       "233          是你！就是你——想想都好激动！阿里数据求贤！  2016-03-17   \n",
       "234           又是AlphaGo，ta和商业有什么关系？  2016-03-15   \n",
       "\n",
       "                                                  link  page  \n",
       "230  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    42  \n",
       "231  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    43  \n",
       "232  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    43  \n",
       "233  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    43  \n",
       "234  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    43  "
      ]
     },
     "execution_count": 85,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_url_out.tail(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[      variable\n",
       " value         \n",
       " 0             \n",
       " 1             \n",
       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 230           \n",
       " 231           \n",
       " 232           \n",
       " 233           \n",
       " 234           \n",
       " \n",
       " [235 rows x 1 columns]]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "[      variable\n",
       " value         \n",
       " 0             \n",
       " 1             \n",
       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 230           \n",
       " 231           \n",
       " 232           \n",
       " 233           \n",
       " 234           \n",
       " \n",
       " [235 rows x 1 columns],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: []]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "[      variable\n",
       " value         \n",
       " 0             \n",
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       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 230           \n",
       " 231           \n",
       " 232           \n",
       " 233           \n",
       " 234           \n",
       " \n",
       " [235 rows x 1 columns],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: []]"
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     "metadata": {},
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    {
     "data": {
      "text/plain": [
       "[      variable\n",
       " value         \n",
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       " 4             \n",
       " ...        ...\n",
       " 230           \n",
       " 231           \n",
       " 232           \n",
       " 233           \n",
       " 234           \n",
       " \n",
       " [235 rows x 1 columns],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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     "metadata": {},
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     "data": {
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       " [235 rows x 1 columns],\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " 234           \n",
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       " [235 rows x 1 columns],\n",
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       " Columns: [variable]\n",
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       " Empty DataFrame\n",
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       " ...        ...\n",
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       " ...        ...\n",
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       " ...        ...\n",
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       "[      variable\n",
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       " ...        ...\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       "[      variable\n",
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       " ...        ...\n",
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       " Index: [],\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       " ...        ...\n",
       " 230           \n",
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       "       variable\n",
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       "       variable\n",
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       " ...        ...\n",
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       " Empty DataFrame\n",
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       " Empty DataFrame\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 35          大咖\n",
       " 99          大咖,\n",
       "       variable\n",
       " value         \n",
       " 45          听说,\n",
       "       variable\n",
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       " 54          图片,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: []]"
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       "[      variable\n",
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       " 2             \n",
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       " 4             \n",
       " ...        ...\n",
       " 230           \n",
       " 231           \n",
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       " \n",
       " [235 rows x 1 columns],\n",
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       " Columns: [variable]\n",
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       " Columns: [variable]\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 35          大咖\n",
       " 99          大咖,\n",
       "       variable\n",
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       " 45          听说,\n",
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       " 54          图片,\n",
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       " Columns: [variable]\n",
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       " Empty DataFrame\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       "[      variable\n",
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       " ...        ...\n",
       " 230           \n",
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       " \n",
       " [235 rows x 1 columns],\n",
       " Empty DataFrame\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       " 99          大咖,\n",
       "       variable\n",
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       " Columns: [variable]\n",
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       " ...        ...\n",
       " 230           \n",
       " 231           \n",
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       " 233           \n",
       " 234           \n",
       " \n",
       " [235 rows x 1 columns],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       "       variable\n",
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       " Columns: [variable]\n",
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       " Empty DataFrame\n",
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       "[      variable\n",
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       " ...        ...\n",
       " 230           \n",
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       " \n",
       " [235 rows x 1 columns],\n",
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       " Index: [],\n",
       "       variable\n",
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       " 99          大咖,\n",
       "       variable\n",
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       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 230           \n",
       " 231           \n",
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       " 233           \n",
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       " \n",
       " [235 rows x 1 columns],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Columns: [variable]\n",
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       " Empty DataFrame\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 35          大咖\n",
       " 99          大咖,\n",
       "       variable\n",
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       " 45          听说,\n",
       "       variable\n",
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       " 54          图片,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
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       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       "[      variable\n",
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       " 1             \n",
       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 230           \n",
       " 231           \n",
       " 232           \n",
       " 233           \n",
       " 234           \n",
       " \n",
       " [235 rows x 1 columns],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
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       " Empty DataFrame\n",
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       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 35          大咖\n",
       " 99          大咖,\n",
       "       variable\n",
       " value         \n",
       " 45          听说,\n",
       "       variable\n",
       " value         \n",
       " 54          图片,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: []]"
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      "text/plain": [
       "[      variable\n",
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       " 1             \n",
       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 230           \n",
       " 231           \n",
       " 232           \n",
       " 233           \n",
       " 234           \n",
       " \n",
       " [235 rows x 1 columns],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
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       " Empty DataFrame\n",
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       " Index: [],\n",
       " Empty DataFrame\n",
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       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 35          大咖\n",
       " 99          大咖,\n",
       "       variable\n",
       " value         \n",
       " 45          听说,\n",
       "       variable\n",
       " value         \n",
       " 54          图片,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: []]"
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     "data": {
      "text/plain": [
       "[      variable\n",
       " value         \n",
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       " 1             \n",
       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 230           \n",
       " 231           \n",
       " 232           \n",
       " 233           \n",
       " 234           \n",
       " \n",
       " [235 rows x 1 columns],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
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       " Empty DataFrame\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 35          大咖\n",
       " 99          大咖,\n",
       "       variable\n",
       " value         \n",
       " 45          听说,\n",
       "       variable\n",
       " value         \n",
       " 54          图片,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " 4             \n",
       " ...        ...\n",
       " 230           \n",
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       " Index: [],\n",
       "       variable\n",
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       " 35          大咖\n",
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       "       variable\n",
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       " ...        ...\n",
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       " ...        ...\n",
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       "       variable\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       " 3           品牌\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
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       " 87          报告\n",
       " 91          报告\n",
       " 92          报告\n",
       " 94          报告\n",
       " 98          报告\n",
       " 106         报告\n",
       " 157         报告\n",
       " 159         报告\n",
       " 172         报告\n",
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       " ...        ...\n",
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       " [235 rows x 1 columns],\n",
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       " Columns: [variable]\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       " Index: [],\n",
       "       variable\n",
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       " Columns: [variable]\n",
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       " 87          报告\n",
       " 91          报告\n",
       " 92          报告\n",
       " 94          报告\n",
       " 98          报告\n",
       " 106         报告\n",
       " 157         报告\n",
       " 159         报告\n",
       " 172         报告\n",
       " 192         报告,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       "[      variable\n",
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       " 4             \n",
       " ...        ...\n",
       " 230           \n",
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       " \n",
       " [235 rows x 1 columns],\n",
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       "       variable\n",
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       " 75          报告\n",
       " 87          报告\n",
       " 91          报告\n",
       " 92          报告\n",
       " 94          报告\n",
       " 98          报告\n",
       " 106         报告\n",
       " 157         报告\n",
       " 159         报告\n",
       " 172         报告\n",
       " 192         报告,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: []]"
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       "[      variable\n",
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       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 230           \n",
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       " \n",
       " [235 rows x 1 columns],\n",
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       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Index: [],\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 35          大咖\n",
       " 99          大咖,\n",
       "       variable\n",
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       " 45          听说,\n",
       "       variable\n",
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       " 54          图片,\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " 61          报告\n",
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       " 87          报告\n",
       " 91          报告\n",
       " 92          报告\n",
       " 94          报告\n",
       " 98          报告\n",
       " 106         报告\n",
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       "[      variable\n",
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       " ...        ...\n",
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       " \n",
       " [235 rows x 1 columns],\n",
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       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 35          大咖\n",
       " 99          大咖,\n",
       "       variable\n",
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       " 45          听说,\n",
       "       variable\n",
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       " Columns: [variable]\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
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       " 87          报告\n",
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       " 92          报告\n",
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       " 98          报告\n",
       " 106         报告\n",
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       " Columns: [variable]\n",
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       " Empty DataFrame\n",
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       "[      variable\n",
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       " ...        ...\n",
       " 230           \n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       " 99          大咖,\n",
       "       variable\n",
       " value         \n",
       " 45          听说,\n",
       "       variable\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
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       " Index: [],\n",
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       " 87          报告\n",
       " 91          报告\n",
       " 92          报告\n",
       " 94          报告\n",
       " 98          报告\n",
       " 106         报告\n",
       " 157         报告\n",
       " 159         报告\n",
       " 172         报告\n",
       " 192         报告,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
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       " Index: [],\n",
       "       variable\n",
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       "[      variable\n",
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       " 4             \n",
       " ...        ...\n",
       " 230           \n",
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       " \n",
       " [235 rows x 1 columns],\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
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       " 99          大咖,\n",
       "       variable\n",
       " value         \n",
       " 45          听说,\n",
       "       variable\n",
       " value         \n",
       " 54          图片,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
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       " 75          报告\n",
       " 87          报告\n",
       " 91          报告\n",
       " 92          报告\n",
       " 94          报告\n",
       " 98          报告\n",
       " 106         报告\n",
       " 157         报告\n",
       " 159         报告\n",
       " 172         报告\n",
       " 192         报告,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 169         基金,\n",
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       " Columns: [variable]\n",
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       "[      variable\n",
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       " 1             \n",
       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 230           \n",
       " 231           \n",
       " 232           \n",
       " 233           \n",
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       " \n",
       " [235 rows x 1 columns],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
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       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 35          大咖\n",
       " 99          大咖,\n",
       "       variable\n",
       " value         \n",
       " 45          听说,\n",
       "       variable\n",
       " value         \n",
       " 54          图片,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       " 3           品牌\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       " 52          报告\n",
       " 61          报告\n",
       " 75          报告\n",
       " 87          报告\n",
       " 91          报告\n",
       " 92          报告\n",
       " 94          报告\n",
       " 98          报告\n",
       " 106         报告\n",
       " 157         报告\n",
       " 159         报告\n",
       " 172         报告\n",
       " 192         报告,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 169         基金,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: []]"
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       "[      variable\n",
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       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 230           \n",
       " 231           \n",
       " 232           \n",
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       " \n",
       " [235 rows x 1 columns],\n",
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       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 35          大咖\n",
       " 99          大咖,\n",
       "       variable\n",
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       " 45          听说,\n",
       "       variable\n",
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       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
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       " Empty DataFrame\n",
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       " Empty DataFrame\n",
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       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
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       " Index: [],\n",
       "       variable\n",
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       " 87          报告\n",
       " 91          报告\n",
       " 92          报告\n",
       " 94          报告\n",
       " 98          报告\n",
       " 106         报告\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
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       " Index: [],\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " ...        ...\n",
       " 230           \n",
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       " 232           \n",
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       " \n",
       " [235 rows x 1 columns],\n",
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       " Columns: [variable]\n",
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       " Index: [],\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 35          大咖\n",
       " 99          大咖,\n",
       "       variable\n",
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       " 45          听说,\n",
       "       variable\n",
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       " Empty DataFrame\n",
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       " Columns: [variable]\n",
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       " Empty DataFrame\n",
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       " Empty DataFrame\n",
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       " Index: [],\n",
       " Empty DataFrame\n",
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       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " 92          报告\n",
       " 94          报告\n",
       " 98          报告\n",
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       " Columns: [variable]\n",
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       " Columns: [variable]\n",
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       " Empty DataFrame\n",
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       " Index: [],\n",
       "       variable\n",
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       " 169         基金,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       "[      variable\n",
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       " 4             \n",
       " ...        ...\n",
       " 230           \n",
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       " 232           \n",
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       " \n",
       " [235 rows x 1 columns],\n",
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       " Index: [],\n",
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       " Columns: [variable]\n",
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       " Index: [],\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 35          大咖\n",
       " 99          大咖,\n",
       "       variable\n",
       " value         \n",
       " 45          听说,\n",
       "       variable\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " 87          报告\n",
       " 91          报告\n",
       " 92          报告\n",
       " 94          报告\n",
       " 98          报告\n",
       " 106         报告\n",
       " 157         报告\n",
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       " 172         报告\n",
       " 192         报告,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 169         基金,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
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       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
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       "[      variable\n",
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       " 4             \n",
       " ...        ...\n",
       " 230           \n",
       " 231           \n",
       " 232           \n",
       " 233           \n",
       " 234           \n",
       " \n",
       " [235 rows x 1 columns],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
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       " Empty DataFrame\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
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       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 35          大咖\n",
       " 99          大咖,\n",
       "       variable\n",
       " value         \n",
       " 45          听说,\n",
       "       variable\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
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       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       " 61          报告\n",
       " 75          报告\n",
       " 87          报告\n",
       " 91          报告\n",
       " 92          报告\n",
       " 94          报告\n",
       " 98          报告\n",
       " 106         报告\n",
       " 157         报告\n",
       " 159         报告\n",
       " 172         报告\n",
       " 192         报告,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 169         基金,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       " 5           数据\n",
       " 8           数据\n",
       " ...        ...\n",
       " 224         数据\n",
       " 227         数据\n",
       " 228         数据\n",
       " 229         数据\n",
       " 233         数据\n",
       " \n",
       " [113 rows x 1 columns]]"
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       "[      variable\n",
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       " 4             \n",
       " ...        ...\n",
       " 230           \n",
       " 231           \n",
       " 232           \n",
       " 233           \n",
       " 234           \n",
       " \n",
       " [235 rows x 1 columns],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Columns: [variable]\n",
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       " Columns: [variable]\n",
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       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 35          大咖\n",
       " 99          大咖,\n",
       "       variable\n",
       " value         \n",
       " 45          听说,\n",
       "       variable\n",
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       " 54          图片,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Columns: [variable]\n",
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       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       " 3           品牌\n",
       " 92          品牌,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       "       variable\n",
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       " 61          报告\n",
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       " 87          报告\n",
       " 91          报告\n",
       " 92          报告\n",
       " 94          报告\n",
       " 98          报告\n",
       " 106         报告\n",
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       " 159         报告\n",
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       " 192         报告,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Index: [],\n",
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       " 169         基金,\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " 4           数据\n",
       " 5           数据\n",
       " 8           数据\n",
       " ...        ...\n",
       " 224         数据\n",
       " 227         数据\n",
       " 228         数据\n",
       " 229         数据\n",
       " 233         数据\n",
       " \n",
       " [113 rows x 1 columns],\n",
       "       variable\n",
       " value         \n",
       " 5         数据赋能\n",
       " 57        数据赋能\n",
       " 109       数据赋能]"
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       " ...        ...\n",
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       "       variable\n",
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       " 87          报告\n",
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       " 92          报告\n",
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       " Index: [],\n",
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       " 4           数据\n",
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       " 8           数据\n",
       " ...        ...\n",
       " 224         数据\n",
       " 227         数据\n",
       " 228         数据\n",
       " 229         数据\n",
       " 233         数据\n",
       " \n",
       " [113 rows x 1 columns],\n",
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       " 109       数据赋能,\n",
       "       variable\n",
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       " 37          智能\n",
       " 39          智能\n",
       " 43          智能\n",
       " 51          智能\n",
       " 156         智能\n",
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       " 87          报告\n",
       " 91          报告\n",
       " 92          报告\n",
       " 94          报告\n",
       " 98          报告\n",
       " 106         报告\n",
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       " Index: [],\n",
       "       variable\n",
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       " Columns: [variable]\n",
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       " 8           数据\n",
       " ...        ...\n",
       " 224         数据\n",
       " 227         数据\n",
       " 228         数据\n",
       " 229         数据\n",
       " 233         数据\n",
       " \n",
       " [113 rows x 1 columns],\n",
       "       variable\n",
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       " 5         数据赋能\n",
       " 57        数据赋能\n",
       " 109       数据赋能,\n",
       "       variable\n",
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       " 19          智能\n",
       " 37          智能\n",
       " 39          智能\n",
       " 43          智能\n",
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       " 156         智能\n",
       " 182         智能,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " ...        ...\n",
       " 230           \n",
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       " \n",
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       " Columns: [variable]\n",
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       "       variable\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       " Index: [],\n",
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       " 61          报告\n",
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       " 87          报告\n",
       " 91          报告\n",
       " 92          报告\n",
       " 94          报告\n",
       " 98          报告\n",
       " 106         报告\n",
       " 157         报告\n",
       " 159         报告\n",
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       " 192         报告,\n",
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       " Columns: [variable]\n",
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       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 169         基金,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       " 4           数据\n",
       " 5           数据\n",
       " 8           数据\n",
       " ...        ...\n",
       " 224         数据\n",
       " 227         数据\n",
       " 228         数据\n",
       " 229         数据\n",
       " 233         数据\n",
       " \n",
       " [113 rows x 1 columns],\n",
       "       variable\n",
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       " 5         数据赋能\n",
       " 57        数据赋能\n",
       " 109       数据赋能,\n",
       "       variable\n",
       " value         \n",
       " 19          智能\n",
       " 37          智能\n",
       " 39          智能\n",
       " 43          智能\n",
       " 51          智能\n",
       " 156         智能\n",
       " 182         智能,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: []]"
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       "[      variable\n",
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       " ...        ...\n",
       " 230           \n",
       " 231           \n",
       " 232           \n",
       " 233           \n",
       " 234           \n",
       " \n",
       " [235 rows x 1 columns],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Columns: [variable]\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       " 45          听说,\n",
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       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 1           品牌\n",
       " 3           品牌\n",
       " 92          品牌,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 9           报告\n",
       " 22          报告\n",
       " 52          报告\n",
       " 61          报告\n",
       " 75          报告\n",
       " 87          报告\n",
       " 91          报告\n",
       " 92          报告\n",
       " 94          报告\n",
       " 98          报告\n",
       " 106         报告\n",
       " 157         报告\n",
       " 159         报告\n",
       " 172         报告\n",
       " 192         报告,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 169         基金,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 0           数据\n",
       " 2           数据\n",
       " 4           数据\n",
       " 5           数据\n",
       " 8           数据\n",
       " ...        ...\n",
       " 224         数据\n",
       " 227         数据\n",
       " 228         数据\n",
       " 229         数据\n",
       " 233         数据\n",
       " \n",
       " [113 rows x 1 columns],\n",
       "       variable\n",
       " value         \n",
       " 5         数据赋能\n",
       " 57        数据赋能\n",
       " 109       数据赋能,\n",
       "       variable\n",
       " value         \n",
       " 19          智能\n",
       " 37          智能\n",
       " 39          智能\n",
       " 43          智能\n",
       " 51          智能\n",
       " 156         智能\n",
       " 182         智能,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: []]"
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       "[      variable\n",
       " value         \n",
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       " 1             \n",
       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 230           \n",
       " 231           \n",
       " 232           \n",
       " 233           \n",
       " 234           \n",
       " \n",
       " [235 rows x 1 columns],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
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       " Empty DataFrame\n",
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       " Index: [],\n",
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       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 35          大咖\n",
       " 99          大咖,\n",
       "       variable\n",
       " value         \n",
       " 45          听说,\n",
       "       variable\n",
       " value         \n",
       " 54          图片,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
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       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 1           品牌\n",
       " 3           品牌\n",
       " 92          品牌,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
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       " 52          报告\n",
       " 61          报告\n",
       " 75          报告\n",
       " 87          报告\n",
       " 91          报告\n",
       " 92          报告\n",
       " 94          报告\n",
       " 98          报告\n",
       " 106         报告\n",
       " 157         报告\n",
       " 159         报告\n",
       " 172         报告\n",
       " 192         报告,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 169         基金,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       " 2           数据\n",
       " 4           数据\n",
       " 5           数据\n",
       " 8           数据\n",
       " ...        ...\n",
       " 224         数据\n",
       " 227         数据\n",
       " 228         数据\n",
       " 229         数据\n",
       " 233         数据\n",
       " \n",
       " [113 rows x 1 columns],\n",
       "       variable\n",
       " value         \n",
       " 5         数据赋能\n",
       " 57        数据赋能\n",
       " 109       数据赋能,\n",
       "       variable\n",
       " value         \n",
       " 19          智能\n",
       " 37          智能\n",
       " 39          智能\n",
       " 43          智能\n",
       " 51          智能\n",
       " 156         智能\n",
       " 182         智能,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: []]"
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      "text/plain": [
       "[      variable\n",
       " value         \n",
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       " 1             \n",
       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 230           \n",
       " 231           \n",
       " 232           \n",
       " 233           \n",
       " 234           \n",
       " \n",
       " [235 rows x 1 columns],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
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       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       " 35          大咖\n",
       " 99          大咖,\n",
       "       variable\n",
       " value         \n",
       " 45          听说,\n",
       "       variable\n",
       " value         \n",
       " 54          图片,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
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       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 1           品牌\n",
       " 3           品牌\n",
       " 92          品牌,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       " 52          报告\n",
       " 61          报告\n",
       " 75          报告\n",
       " 87          报告\n",
       " 91          报告\n",
       " 92          报告\n",
       " 94          报告\n",
       " 98          报告\n",
       " 106         报告\n",
       " 157         报告\n",
       " 159         报告\n",
       " 172         报告\n",
       " 192         报告,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 169         基金,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 0           数据\n",
       " 2           数据\n",
       " 4           数据\n",
       " 5           数据\n",
       " 8           数据\n",
       " ...        ...\n",
       " 224         数据\n",
       " 227         数据\n",
       " 228         数据\n",
       " 229         数据\n",
       " 233         数据\n",
       " \n",
       " [113 rows x 1 columns],\n",
       "       variable\n",
       " value         \n",
       " 5         数据赋能\n",
       " 57        数据赋能\n",
       " 109       数据赋能,\n",
       "       variable\n",
       " value         \n",
       " 19          智能\n",
       " 37          智能\n",
       " 39          智能\n",
       " 43          智能\n",
       " 51          智能\n",
       " 156         智能\n",
       " 182         智能,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: []]"
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     "data": {
      "text/plain": [
       "[      variable\n",
       " value         \n",
       " 0             \n",
       " 1             \n",
       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 230           \n",
       " 231           \n",
       " 232           \n",
       " 233           \n",
       " 234           \n",
       " \n",
       " [235 rows x 1 columns],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 35          大咖\n",
       " 99          大咖,\n",
       "       variable\n",
       " value         \n",
       " 45          听说,\n",
       "       variable\n",
       " value         \n",
       " 54          图片,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 1           品牌\n",
       " 3           品牌\n",
       " 92          品牌,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 9           报告\n",
       " 22          报告\n",
       " 52          报告\n",
       " 61          报告\n",
       " 75          报告\n",
       " 87          报告\n",
       " 91          报告\n",
       " 92          报告\n",
       " 94          报告\n",
       " 98          报告\n",
       " 106         报告\n",
       " 157         报告\n",
       " 159         报告\n",
       " 172         报告\n",
       " 192         报告,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 169         基金,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 0           数据\n",
       " 2           数据\n",
       " 4           数据\n",
       " 5           数据\n",
       " 8           数据\n",
       " ...        ...\n",
       " 224         数据\n",
       " 227         数据\n",
       " 228         数据\n",
       " 229         数据\n",
       " 233         数据\n",
       " \n",
       " [113 rows x 1 columns],\n",
       "       variable\n",
       " value         \n",
       " 5         数据赋能\n",
       " 57        数据赋能\n",
       " 109       数据赋能,\n",
       "       variable\n",
       " value         \n",
       " 19          智能\n",
       " 37          智能\n",
       " 39          智能\n",
       " 43          智能\n",
       " 51          智能\n",
       " 156         智能\n",
       " 182         智能,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: []]"
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     "data": {
      "text/plain": [
       "[      variable\n",
       " value         \n",
       " 0             \n",
       " 1             \n",
       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 230           \n",
       " 231           \n",
       " 232           \n",
       " 233           \n",
       " 234           \n",
       " \n",
       " [235 rows x 1 columns],\n",
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       " Empty DataFrame\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
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       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 35          大咖\n",
       " 99          大咖,\n",
       "       variable\n",
       " value         \n",
       " 45          听说,\n",
       "       variable\n",
       " value         \n",
       " 54          图片,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 1           品牌\n",
       " 3           品牌\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 9           报告\n",
       " 22          报告\n",
       " 52          报告\n",
       " 61          报告\n",
       " 75          报告\n",
       " 87          报告\n",
       " 91          报告\n",
       " 92          报告\n",
       " 94          报告\n",
       " 98          报告\n",
       " 106         报告\n",
       " 157         报告\n",
       " 159         报告\n",
       " 172         报告\n",
       " 192         报告,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
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       " Index: [],\n",
       "       variable\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
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       " Index: [],\n",
       "       variable\n",
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       " 4           数据\n",
       " 5           数据\n",
       " 8           数据\n",
       " ...        ...\n",
       " 224         数据\n",
       " 227         数据\n",
       " 228         数据\n",
       " 229         数据\n",
       " 233         数据\n",
       " \n",
       " [113 rows x 1 columns],\n",
       "       variable\n",
       " value         \n",
       " 5         数据赋能\n",
       " 57        数据赋能\n",
       " 109       数据赋能,\n",
       "       variable\n",
       " value         \n",
       " 19          智能\n",
       " 37          智能\n",
       " 39          智能\n",
       " 43          智能\n",
       " 51          智能\n",
       " 156         智能\n",
       " 182         智能,\n",
       " Empty DataFrame\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
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       " Index: [],\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: []]"
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      "text/plain": [
       "[      variable\n",
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       " 4             \n",
       " ...        ...\n",
       " 230           \n",
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       " \n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
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       "       variable\n",
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       " 45          听说,\n",
       "       variable\n",
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       " 87          报告\n",
       " 91          报告\n",
       " 92          报告\n",
       " 94          报告\n",
       " 98          报告\n",
       " 106         报告\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
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       " Columns: [variable]\n",
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       " Index: [],\n",
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       " Index: [],\n",
       "       variable\n",
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       " 4           数据\n",
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       " 8           数据\n",
       " ...        ...\n",
       " 224         数据\n",
       " 227         数据\n",
       " 228         数据\n",
       " 229         数据\n",
       " 233         数据\n",
       " \n",
       " [113 rows x 1 columns],\n",
       "       variable\n",
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       "       variable\n",
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       " 19          智能\n",
       " 37          智能\n",
       " 39          智能\n",
       " 43          智能\n",
       " 51          智能\n",
       " 156         智能\n",
       " 182         智能,\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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    {
     "data": {
      "text/plain": [
       "[      variable\n",
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       " ...        ...\n",
       " 230           \n",
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       " Index: [],\n",
       "       variable\n",
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       "       variable\n",
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       " 45          听说,\n",
       "       variable\n",
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       " 87          报告\n",
       " 91          报告\n",
       " 92          报告\n",
       " 94          报告\n",
       " 98          报告\n",
       " 106         报告\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
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       " Columns: [variable]\n",
       " Index: [],\n",
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       " Index: [],\n",
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       " Columns: [variable]\n",
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       " 4           数据\n",
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       " 8           数据\n",
       " ...        ...\n",
       " 224         数据\n",
       " 227         数据\n",
       " 228         数据\n",
       " 229         数据\n",
       " 233         数据\n",
       " \n",
       " [113 rows x 1 columns],\n",
       "       variable\n",
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       " 5         数据赋能\n",
       " 57        数据赋能\n",
       " 109       数据赋能,\n",
       "       variable\n",
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       " 19          智能\n",
       " 37          智能\n",
       " 39          智能\n",
       " 43          智能\n",
       " 51          智能\n",
       " 156         智能\n",
       " 182         智能,\n",
       " Empty DataFrame\n",
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       " Empty DataFrame\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: []]"
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      "text/plain": [
       "[      variable\n",
       " value         \n",
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       " 1             \n",
       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 230           \n",
       " 231           \n",
       " 232           \n",
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       " \n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Index: [],\n",
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       " Columns: [variable]\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
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       " 99          大咖,\n",
       "       variable\n",
       " value         \n",
       " 45          听说,\n",
       "       variable\n",
       " value         \n",
       " 54          图片,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Columns: [variable]\n",
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       " Index: [],\n",
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       " 61          报告\n",
       " 75          报告\n",
       " 87          报告\n",
       " 91          报告\n",
       " 92          报告\n",
       " 94          报告\n",
       " 98          报告\n",
       " 106         报告\n",
       " 157         报告\n",
       " 159         报告\n",
       " 172         报告\n",
       " 192         报告,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 169         基金,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 0           数据\n",
       " 2           数据\n",
       " 4           数据\n",
       " 5           数据\n",
       " 8           数据\n",
       " ...        ...\n",
       " 224         数据\n",
       " 227         数据\n",
       " 228         数据\n",
       " 229         数据\n",
       " 233         数据\n",
       " \n",
       " [113 rows x 1 columns],\n",
       "       variable\n",
       " value         \n",
       " 5         数据赋能\n",
       " 57        数据赋能\n",
       " 109       数据赋能,\n",
       "       variable\n",
       " value         \n",
       " 19          智能\n",
       " 37          智能\n",
       " 39          智能\n",
       " 43          智能\n",
       " 51          智能\n",
       " 156         智能\n",
       " 182         智能,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 5         高峰论坛\n",
       " 57        高峰论坛,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: []]"
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     "data": {
      "text/plain": [
       "[      variable\n",
       " value         \n",
       " 0             \n",
       " 1             \n",
       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 230           \n",
       " 231           \n",
       " 232           \n",
       " 233           \n",
       " 234           \n",
       " \n",
       " [235 rows x 1 columns],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
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       " Columns: [variable]\n",
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       " Index: [],\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 35          大咖\n",
       " 99          大咖,\n",
       "       variable\n",
       " value         \n",
       " 45          听说,\n",
       "       variable\n",
       " value         \n",
       " 54          图片,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
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       " 3           品牌\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       " 52          报告\n",
       " 61          报告\n",
       " 75          报告\n",
       " 87          报告\n",
       " 91          报告\n",
       " 92          报告\n",
       " 94          报告\n",
       " 98          报告\n",
       " 106         报告\n",
       " 157         报告\n",
       " 159         报告\n",
       " 172         报告\n",
       " 192         报告,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 169         基金,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       " 2           数据\n",
       " 4           数据\n",
       " 5           数据\n",
       " 8           数据\n",
       " ...        ...\n",
       " 224         数据\n",
       " 227         数据\n",
       " 228         数据\n",
       " 229         数据\n",
       " 233         数据\n",
       " \n",
       " [113 rows x 1 columns],\n",
       "       variable\n",
       " value         \n",
       " 5         数据赋能\n",
       " 57        数据赋能\n",
       " 109       数据赋能,\n",
       "       variable\n",
       " value         \n",
       " 19          智能\n",
       " 37          智能\n",
       " 39          智能\n",
       " 43          智能\n",
       " 51          智能\n",
       " 156         智能\n",
       " 182         智能,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 5         高峰论坛\n",
       " 57        高峰论坛,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: []]"
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      "text/plain": [
       "[      variable\n",
       " value         \n",
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       " 1             \n",
       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 230           \n",
       " 231           \n",
       " 232           \n",
       " 233           \n",
       " 234           \n",
       " \n",
       " [235 rows x 1 columns],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
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       " Index: [],\n",
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       " Empty DataFrame\n",
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       " Empty DataFrame\n",
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       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 35          大咖\n",
       " 99          大咖,\n",
       "       variable\n",
       " value         \n",
       " 45          听说,\n",
       "       variable\n",
       " value         \n",
       " 54          图片,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 1           品牌\n",
       " 3           品牌\n",
       " 92          品牌,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       " 22          报告\n",
       " 52          报告\n",
       " 61          报告\n",
       " 75          报告\n",
       " 87          报告\n",
       " 91          报告\n",
       " 92          报告\n",
       " 94          报告\n",
       " 98          报告\n",
       " 106         报告\n",
       " 157         报告\n",
       " 159         报告\n",
       " 172         报告\n",
       " 192         报告,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 169         基金,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 0           数据\n",
       " 2           数据\n",
       " 4           数据\n",
       " 5           数据\n",
       " 8           数据\n",
       " ...        ...\n",
       " 224         数据\n",
       " 227         数据\n",
       " 228         数据\n",
       " 229         数据\n",
       " 233         数据\n",
       " \n",
       " [113 rows x 1 columns],\n",
       "       variable\n",
       " value         \n",
       " 5         数据赋能\n",
       " 57        数据赋能\n",
       " 109       数据赋能,\n",
       "       variable\n",
       " value         \n",
       " 19          智能\n",
       " 37          智能\n",
       " 39          智能\n",
       " 43          智能\n",
       " 51          智能\n",
       " 156         智能\n",
       " 182         智能,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 5         高峰论坛\n",
       " 57        高峰论坛,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: []]"
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      "text/plain": [
       "[      variable\n",
       " value         \n",
       " 0             \n",
       " 1             \n",
       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 230           \n",
       " 231           \n",
       " 232           \n",
       " 233           \n",
       " 234           \n",
       " \n",
       " [235 rows x 1 columns],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 35          大咖\n",
       " 99          大咖,\n",
       "       variable\n",
       " value         \n",
       " 45          听说,\n",
       "       variable\n",
       " value         \n",
       " 54          图片,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 1           品牌\n",
       " 3           品牌\n",
       " 92          品牌,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 9           报告\n",
       " 22          报告\n",
       " 52          报告\n",
       " 61          报告\n",
       " 75          报告\n",
       " 87          报告\n",
       " 91          报告\n",
       " 92          报告\n",
       " 94          报告\n",
       " 98          报告\n",
       " 106         报告\n",
       " 157         报告\n",
       " 159         报告\n",
       " 172         报告\n",
       " 192         报告,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 169         基金,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 0           数据\n",
       " 2           数据\n",
       " 4           数据\n",
       " 5           数据\n",
       " 8           数据\n",
       " ...        ...\n",
       " 224         数据\n",
       " 227         数据\n",
       " 228         数据\n",
       " 229         数据\n",
       " 233         数据\n",
       " \n",
       " [113 rows x 1 columns],\n",
       "       variable\n",
       " value         \n",
       " 5         数据赋能\n",
       " 57        数据赋能\n",
       " 109       数据赋能,\n",
       "       variable\n",
       " value         \n",
       " 19          智能\n",
       " 37          智能\n",
       " 39          智能\n",
       " 43          智能\n",
       " 51          智能\n",
       " 156         智能\n",
       " 182         智能,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 5         高峰论坛\n",
       " 57        高峰论坛,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: []]"
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     "data": {
      "text/plain": [
       "[      variable\n",
       " value         \n",
       " 0             \n",
       " 1             \n",
       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 230           \n",
       " 231           \n",
       " 232           \n",
       " 233           \n",
       " 234           \n",
       " \n",
       " [235 rows x 1 columns],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
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       " Empty DataFrame\n",
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       " Index: [],\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
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       " Index: [],\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 35          大咖\n",
       " 99          大咖,\n",
       "       variable\n",
       " value         \n",
       " 45          听说,\n",
       "       variable\n",
       " value         \n",
       " 54          图片,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 1           品牌\n",
       " 3           品牌\n",
       " 92          品牌,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       " 52          报告\n",
       " 61          报告\n",
       " 75          报告\n",
       " 87          报告\n",
       " 91          报告\n",
       " 92          报告\n",
       " 94          报告\n",
       " 98          报告\n",
       " 106         报告\n",
       " 157         报告\n",
       " 159         报告\n",
       " 172         报告\n",
       " 192         报告,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 169         基金,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       " 2           数据\n",
       " 4           数据\n",
       " 5           数据\n",
       " 8           数据\n",
       " ...        ...\n",
       " 224         数据\n",
       " 227         数据\n",
       " 228         数据\n",
       " 229         数据\n",
       " 233         数据\n",
       " \n",
       " [113 rows x 1 columns],\n",
       "       variable\n",
       " value         \n",
       " 5         数据赋能\n",
       " 57        数据赋能\n",
       " 109       数据赋能,\n",
       "       variable\n",
       " value         \n",
       " 19          智能\n",
       " 37          智能\n",
       " 39          智能\n",
       " 43          智能\n",
       " 51          智能\n",
       " 156         智能\n",
       " 182         智能,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
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       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 5         高峰论坛\n",
       " 57        高峰论坛,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: []]"
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      "text/plain": [
       "[      variable\n",
       " value         \n",
       " 0             \n",
       " 1             \n",
       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 230           \n",
       " 231           \n",
       " 232           \n",
       " 233           \n",
       " 234           \n",
       " \n",
       " [235 rows x 1 columns],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
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       " Index: [],\n",
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       " Index: [],\n",
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       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 35          大咖\n",
       " 99          大咖,\n",
       "       variable\n",
       " value         \n",
       " 45          听说,\n",
       "       variable\n",
       " value         \n",
       " 54          图片,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 1           品牌\n",
       " 3           品牌\n",
       " 92          品牌,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 9           报告\n",
       " 22          报告\n",
       " 52          报告\n",
       " 61          报告\n",
       " 75          报告\n",
       " 87          报告\n",
       " 91          报告\n",
       " 92          报告\n",
       " 94          报告\n",
       " 98          报告\n",
       " 106         报告\n",
       " 157         报告\n",
       " 159         报告\n",
       " 172         报告\n",
       " 192         报告,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 169         基金,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 0           数据\n",
       " 2           数据\n",
       " 4           数据\n",
       " 5           数据\n",
       " 8           数据\n",
       " ...        ...\n",
       " 224         数据\n",
       " 227         数据\n",
       " 228         数据\n",
       " 229         数据\n",
       " 233         数据\n",
       " \n",
       " [113 rows x 1 columns],\n",
       "       variable\n",
       " value         \n",
       " 5         数据赋能\n",
       " 57        数据赋能\n",
       " 109       数据赋能,\n",
       "       variable\n",
       " value         \n",
       " 19          智能\n",
       " 37          智能\n",
       " 39          智能\n",
       " 43          智能\n",
       " 51          智能\n",
       " 156         智能\n",
       " 182         智能,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 5         高峰论坛\n",
       " 57        高峰论坛,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: []]"
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     },
     "metadata": {},
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    {
     "data": {
      "text/plain": [
       "[      variable\n",
       " value         \n",
       " 0             \n",
       " 1             \n",
       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 230           \n",
       " 231           \n",
       " 232           \n",
       " 233           \n",
       " 234           \n",
       " \n",
       " [235 rows x 1 columns],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 35          大咖\n",
       " 99          大咖,\n",
       "       variable\n",
       " value         \n",
       " 45          听说,\n",
       "       variable\n",
       " value         \n",
       " 54          图片,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 1           品牌\n",
       " 3           品牌\n",
       " 92          品牌,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 9           报告\n",
       " 22          报告\n",
       " 52          报告\n",
       " 61          报告\n",
       " 75          报告\n",
       " 87          报告\n",
       " 91          报告\n",
       " 92          报告\n",
       " 94          报告\n",
       " 98          报告\n",
       " 106         报告\n",
       " 157         报告\n",
       " 159         报告\n",
       " 172         报告\n",
       " 192         报告,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 169         基金,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 0           数据\n",
       " 2           数据\n",
       " 4           数据\n",
       " 5           数据\n",
       " 8           数据\n",
       " ...        ...\n",
       " 224         数据\n",
       " 227         数据\n",
       " 228         数据\n",
       " 229         数据\n",
       " 233         数据\n",
       " \n",
       " [113 rows x 1 columns],\n",
       "       variable\n",
       " value         \n",
       " 5         数据赋能\n",
       " 57        数据赋能\n",
       " 109       数据赋能,\n",
       "       variable\n",
       " value         \n",
       " 19          智能\n",
       " 37          智能\n",
       " 39          智能\n",
       " 43          智能\n",
       " 51          智能\n",
       " 156         智能\n",
       " 182         智能,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 5         高峰论坛\n",
       " 57        高峰论坛,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: []]"
      ]
     },
     "metadata": {},
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    {
     "data": {
      "text/plain": [
       "[      variable\n",
       " value         \n",
       " 0             \n",
       " 1             \n",
       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 230           \n",
       " 231           \n",
       " 232           \n",
       " 233           \n",
       " 234           \n",
       " \n",
       " [235 rows x 1 columns],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 35          大咖\n",
       " 99          大咖,\n",
       "       variable\n",
       " value         \n",
       " 45          听说,\n",
       "       variable\n",
       " value         \n",
       " 54          图片,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 1           品牌\n",
       " 3           品牌\n",
       " 92          品牌,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 9           报告\n",
       " 22          报告\n",
       " 52          报告\n",
       " 61          报告\n",
       " 75          报告\n",
       " 87          报告\n",
       " 91          报告\n",
       " 92          报告\n",
       " 94          报告\n",
       " 98          报告\n",
       " 106         报告\n",
       " 157         报告\n",
       " 159         报告\n",
       " 172         报告\n",
       " 192         报告,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 169         基金,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 0           数据\n",
       " 2           数据\n",
       " 4           数据\n",
       " 5           数据\n",
       " 8           数据\n",
       " ...        ...\n",
       " 224         数据\n",
       " 227         数据\n",
       " 228         数据\n",
       " 229         数据\n",
       " 233         数据\n",
       " \n",
       " [113 rows x 1 columns],\n",
       "       variable\n",
       " value         \n",
       " 5         数据赋能\n",
       " 57        数据赋能\n",
       " 109       数据赋能,\n",
       "       variable\n",
       " value         \n",
       " 19          智能\n",
       " 37          智能\n",
       " 39          智能\n",
       " 43          智能\n",
       " 51          智能\n",
       " 156         智能\n",
       " 182         智能,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 5         高峰论坛\n",
       " 57        高峰论坛,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: []]"
      ]
     },
     "metadata": {},
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    {
     "data": {
      "text/plain": [
       "[      variable\n",
       " value         \n",
       " 0             \n",
       " 1             \n",
       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 230           \n",
       " 231           \n",
       " 232           \n",
       " 233           \n",
       " 234           \n",
       " \n",
       " [235 rows x 1 columns],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
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       " Index: [],\n",
       " Empty DataFrame\n",
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       " Index: [],\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 35          大咖\n",
       " 99          大咖,\n",
       "       variable\n",
       " value         \n",
       " 45          听说,\n",
       "       variable\n",
       " value         \n",
       " 54          图片,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 1           品牌\n",
       " 3           品牌\n",
       " 92          品牌,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 9           报告\n",
       " 22          报告\n",
       " 52          报告\n",
       " 61          报告\n",
       " 75          报告\n",
       " 87          报告\n",
       " 91          报告\n",
       " 92          报告\n",
       " 94          报告\n",
       " 98          报告\n",
       " 106         报告\n",
       " 157         报告\n",
       " 159         报告\n",
       " 172         报告\n",
       " 192         报告,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 169         基金,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 0           数据\n",
       " 2           数据\n",
       " 4           数据\n",
       " 5           数据\n",
       " 8           数据\n",
       " ...        ...\n",
       " 224         数据\n",
       " 227         数据\n",
       " 228         数据\n",
       " 229         数据\n",
       " 233         数据\n",
       " \n",
       " [113 rows x 1 columns],\n",
       "       variable\n",
       " value         \n",
       " 5         数据赋能\n",
       " 57        数据赋能\n",
       " 109       数据赋能,\n",
       "       variable\n",
       " value         \n",
       " 19          智能\n",
       " 37          智能\n",
       " 39          智能\n",
       " 43          智能\n",
       " 51          智能\n",
       " 156         智能\n",
       " 182         智能,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 5         高峰论坛\n",
       " 57        高峰论坛,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: []]"
      ]
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     "metadata": {},
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     "data": {
      "text/plain": [
       "[      variable\n",
       " value         \n",
       " 0             \n",
       " 1             \n",
       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 230           \n",
       " 231           \n",
       " 232           \n",
       " 233           \n",
       " 234           \n",
       " \n",
       " [235 rows x 1 columns],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 35          大咖\n",
       " 99          大咖,\n",
       "       variable\n",
       " value         \n",
       " 45          听说,\n",
       "       variable\n",
       " value         \n",
       " 54          图片,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 1           品牌\n",
       " 3           品牌\n",
       " 92          品牌,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 9           报告\n",
       " 22          报告\n",
       " 52          报告\n",
       " 61          报告\n",
       " 75          报告\n",
       " 87          报告\n",
       " 91          报告\n",
       " 92          报告\n",
       " 94          报告\n",
       " 98          报告\n",
       " 106         报告\n",
       " 157         报告\n",
       " 159         报告\n",
       " 172         报告\n",
       " 192         报告,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 169         基金,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 0           数据\n",
       " 2           数据\n",
       " 4           数据\n",
       " 5           数据\n",
       " 8           数据\n",
       " ...        ...\n",
       " 224         数据\n",
       " 227         数据\n",
       " 228         数据\n",
       " 229         数据\n",
       " 233         数据\n",
       " \n",
       " [113 rows x 1 columns],\n",
       "       variable\n",
       " value         \n",
       " 5         数据赋能\n",
       " 57        数据赋能\n",
       " 109       数据赋能,\n",
       "       variable\n",
       " value         \n",
       " 19          智能\n",
       " 37          智能\n",
       " 39          智能\n",
       " 43          智能\n",
       " 51          智能\n",
       " 156         智能\n",
       " 182         智能,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 5         高峰论坛\n",
       " 57        高峰论坛,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: []]"
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     },
     "metadata": {},
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     "data": {
      "text/plain": [
       "[      variable\n",
       " value         \n",
       " 0             \n",
       " 1             \n",
       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 230           \n",
       " 231           \n",
       " 232           \n",
       " 233           \n",
       " 234           \n",
       " \n",
       " [235 rows x 1 columns],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 35          大咖\n",
       " 99          大咖,\n",
       "       variable\n",
       " value         \n",
       " 45          听说,\n",
       "       variable\n",
       " value         \n",
       " 54          图片,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 1           品牌\n",
       " 3           品牌\n",
       " 92          品牌,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 9           报告\n",
       " 22          报告\n",
       " 52          报告\n",
       " 61          报告\n",
       " 75          报告\n",
       " 87          报告\n",
       " 91          报告\n",
       " 92          报告\n",
       " 94          报告\n",
       " 98          报告\n",
       " 106         报告\n",
       " 157         报告\n",
       " 159         报告\n",
       " 172         报告\n",
       " 192         报告,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 169         基金,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 0           数据\n",
       " 2           数据\n",
       " 4           数据\n",
       " 5           数据\n",
       " 8           数据\n",
       " ...        ...\n",
       " 224         数据\n",
       " 227         数据\n",
       " 228         数据\n",
       " 229         数据\n",
       " 233         数据\n",
       " \n",
       " [113 rows x 1 columns],\n",
       "       variable\n",
       " value         \n",
       " 5         数据赋能\n",
       " 57        数据赋能\n",
       " 109       数据赋能,\n",
       "       variable\n",
       " value         \n",
       " 19          智能\n",
       " 37          智能\n",
       " 39          智能\n",
       " 43          智能\n",
       " 51          智能\n",
       " 156         智能\n",
       " 182         智能,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 5         高峰论坛\n",
       " 57        高峰论坛,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: []]"
      ]
     },
     "metadata": {},
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     "data": {
      "text/plain": [
       "[      variable\n",
       " value         \n",
       " 0             \n",
       " 1             \n",
       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 230           \n",
       " 231           \n",
       " 232           \n",
       " 233           \n",
       " 234           \n",
       " \n",
       " [235 rows x 1 columns],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
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       " Index: [],\n",
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       " Index: [],\n",
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       " Index: [],\n",
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       " Index: [],\n",
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       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
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       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 35          大咖\n",
       " 99          大咖,\n",
       "       variable\n",
       " value         \n",
       " 45          听说,\n",
       "       variable\n",
       " value         \n",
       " 54          图片,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
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       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
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       " 3           品牌\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       " 52          报告\n",
       " 61          报告\n",
       " 75          报告\n",
       " 87          报告\n",
       " 91          报告\n",
       " 92          报告\n",
       " 94          报告\n",
       " 98          报告\n",
       " 106         报告\n",
       " 157         报告\n",
       " 159         报告\n",
       " 172         报告\n",
       " 192         报告,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 169         基金,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 0           数据\n",
       " 2           数据\n",
       " 4           数据\n",
       " 5           数据\n",
       " 8           数据\n",
       " ...        ...\n",
       " 224         数据\n",
       " 227         数据\n",
       " 228         数据\n",
       " 229         数据\n",
       " 233         数据\n",
       " \n",
       " [113 rows x 1 columns],\n",
       "       variable\n",
       " value         \n",
       " 5         数据赋能\n",
       " 57        数据赋能\n",
       " 109       数据赋能,\n",
       "       variable\n",
       " value         \n",
       " 19          智能\n",
       " 37          智能\n",
       " 39          智能\n",
       " 43          智能\n",
       " 51          智能\n",
       " 156         智能\n",
       " 182         智能,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 5         高峰论坛\n",
       " 57        高峰论坛,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: []]"
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     "metadata": {},
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     "data": {
      "text/plain": [
       "[      variable\n",
       " value         \n",
       " 0             \n",
       " 1             \n",
       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 230           \n",
       " 231           \n",
       " 232           \n",
       " 233           \n",
       " 234           \n",
       " \n",
       " [235 rows x 1 columns],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 35          大咖\n",
       " 99          大咖,\n",
       "       variable\n",
       " value         \n",
       " 45          听说,\n",
       "       variable\n",
       " value         \n",
       " 54          图片,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 1           品牌\n",
       " 3           品牌\n",
       " 92          品牌,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 9           报告\n",
       " 22          报告\n",
       " 52          报告\n",
       " 61          报告\n",
       " 75          报告\n",
       " 87          报告\n",
       " 91          报告\n",
       " 92          报告\n",
       " 94          报告\n",
       " 98          报告\n",
       " 106         报告\n",
       " 157         报告\n",
       " 159         报告\n",
       " 172         报告\n",
       " 192         报告,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 169         基金,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 0           数据\n",
       " 2           数据\n",
       " 4           数据\n",
       " 5           数据\n",
       " 8           数据\n",
       " ...        ...\n",
       " 224         数据\n",
       " 227         数据\n",
       " 228         数据\n",
       " 229         数据\n",
       " 233         数据\n",
       " \n",
       " [113 rows x 1 columns],\n",
       "       variable\n",
       " value         \n",
       " 5         数据赋能\n",
       " 57        数据赋能\n",
       " 109       数据赋能,\n",
       "       variable\n",
       " value         \n",
       " 19          智能\n",
       " 37          智能\n",
       " 39          智能\n",
       " 43          智能\n",
       " 51          智能\n",
       " 156         智能\n",
       " 182         智能,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 5         高峰论坛\n",
       " 57        高峰论坛,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: []]"
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       "[      variable\n",
       " value         \n",
       " 0             \n",
       " 1             \n",
       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 230           \n",
       " 231           \n",
       " 232           \n",
       " 233           \n",
       " 234           \n",
       " \n",
       " [235 rows x 1 columns],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 35          大咖\n",
       " 99          大咖,\n",
       "       variable\n",
       " value         \n",
       " 45          听说,\n",
       "       variable\n",
       " value         \n",
       " 54          图片,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 1           品牌\n",
       " 3           品牌\n",
       " 92          品牌,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       " 22          报告\n",
       " 52          报告\n",
       " 61          报告\n",
       " 75          报告\n",
       " 87          报告\n",
       " 91          报告\n",
       " 92          报告\n",
       " 94          报告\n",
       " 98          报告\n",
       " 106         报告\n",
       " 157         报告\n",
       " 159         报告\n",
       " 172         报告\n",
       " 192         报告,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 169         基金,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 0           数据\n",
       " 2           数据\n",
       " 4           数据\n",
       " 5           数据\n",
       " 8           数据\n",
       " ...        ...\n",
       " 224         数据\n",
       " 227         数据\n",
       " 228         数据\n",
       " 229         数据\n",
       " 233         数据\n",
       " \n",
       " [113 rows x 1 columns],\n",
       "       variable\n",
       " value         \n",
       " 5         数据赋能\n",
       " 57        数据赋能\n",
       " 109       数据赋能,\n",
       "       variable\n",
       " value         \n",
       " 19          智能\n",
       " 37          智能\n",
       " 39          智能\n",
       " 43          智能\n",
       " 51          智能\n",
       " 156         智能\n",
       " 182         智能,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
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       " Index: [],\n",
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       " Index: [],\n",
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       " Index: [],\n",
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       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: []]"
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       "[      variable\n",
       " value         \n",
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       " 1             \n",
       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 230           \n",
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       " [235 rows x 1 columns],\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       "       variable\n",
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       " 45          听说,\n",
       "       variable\n",
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       " 61          报告\n",
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       " 87          报告\n",
       " 91          报告\n",
       " 92          报告\n",
       " 94          报告\n",
       " 98          报告\n",
       " 106         报告\n",
       " 157         报告\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
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       " Columns: [variable]\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
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       " Index: [],\n",
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       " Columns: [variable]\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
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       " Index: [],\n",
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       " 4           数据\n",
       " 5           数据\n",
       " 8           数据\n",
       " ...        ...\n",
       " 224         数据\n",
       " 227         数据\n",
       " 228         数据\n",
       " 229         数据\n",
       " 233         数据\n",
       " \n",
       " [113 rows x 1 columns],\n",
       "       variable\n",
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       " 5         数据赋能\n",
       " 57        数据赋能\n",
       " 109       数据赋能,\n",
       "       variable\n",
       " value         \n",
       " 19          智能\n",
       " 37          智能\n",
       " 39          智能\n",
       " 43          智能\n",
       " 51          智能\n",
       " 156         智能\n",
       " 182         智能,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
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       " Index: [],\n",
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       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       " 5         高峰论坛\n",
       " 57        高峰论坛,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 205         开放\n",
       " 216         开放]"
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     "data": {
      "text/plain": [
       "[      variable\n",
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       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 230           \n",
       " 231           \n",
       " 232           \n",
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       " \n",
       " [235 rows x 1 columns],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Columns: [variable]\n",
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       " Columns: [variable]\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
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       " 99          大咖,\n",
       "       variable\n",
       " value         \n",
       " 45          听说,\n",
       "       variable\n",
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       " 54          图片,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       " Index: [],\n",
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       " 52          报告\n",
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       " 75          报告\n",
       " 87          报告\n",
       " 91          报告\n",
       " 92          报告\n",
       " 94          报告\n",
       " 98          报告\n",
       " 106         报告\n",
       " 157         报告\n",
       " 159         报告\n",
       " 172         报告\n",
       " 192         报告,\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 169         基金,\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
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       " Columns: [variable]\n",
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       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       " 4           数据\n",
       " 5           数据\n",
       " 8           数据\n",
       " ...        ...\n",
       " 224         数据\n",
       " 227         数据\n",
       " 228         数据\n",
       " 229         数据\n",
       " 233         数据\n",
       " \n",
       " [113 rows x 1 columns],\n",
       "       variable\n",
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       " 5         数据赋能\n",
       " 57        数据赋能\n",
       " 109       数据赋能,\n",
       "       variable\n",
       " value         \n",
       " 19          智能\n",
       " 37          智能\n",
       " 39          智能\n",
       " 43          智能\n",
       " 51          智能\n",
       " 156         智能\n",
       " 182         智能,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
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       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       " 5         高峰论坛\n",
       " 57        高峰论坛,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
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       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
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       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 205         开放\n",
       " 216         开放,\n",
       "       variable\n",
       " value         \n",
       " 167         生态\n",
       " 173         生态\n",
       " 223         生态]"
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       "[      variable\n",
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       " 1             \n",
       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 230           \n",
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       " \n",
       " [235 rows x 1 columns],\n",
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       " Index: [],\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 35          大咖\n",
       " 99          大咖,\n",
       "       variable\n",
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       " 45          听说,\n",
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       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       " 61          报告\n",
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       " 87          报告\n",
       " 91          报告\n",
       " 92          报告\n",
       " 94          报告\n",
       " 98          报告\n",
       " 106         报告\n",
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       " Columns: [variable]\n",
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       " Index: [],\n",
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       " 169         基金,\n",
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       " Empty DataFrame\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
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       " Index: [],\n",
       "       variable\n",
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       " 8           数据\n",
       " ...        ...\n",
       " 224         数据\n",
       " 227         数据\n",
       " 228         数据\n",
       " 229         数据\n",
       " 233         数据\n",
       " \n",
       " [113 rows x 1 columns],\n",
       "       variable\n",
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       " 57        数据赋能\n",
       " 109       数据赋能,\n",
       "       variable\n",
       " value         \n",
       " 19          智能\n",
       " 37          智能\n",
       " 39          智能\n",
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       " 156         智能\n",
       " 182         智能,\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
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       " Columns: [variable]\n",
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       "       variable\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       "[      variable\n",
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       " ...        ...\n",
       " 230           \n",
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       " \n",
       " [235 rows x 1 columns],\n",
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       "       variable\n",
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       " Empty DataFrame\n",
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       " Index: [],\n",
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       " Index: [],\n",
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       " 61          报告\n",
       " 75          报告\n",
       " 87          报告\n",
       " 91          报告\n",
       " 92          报告\n",
       " 94          报告\n",
       " 98          报告\n",
       " 106         报告\n",
       " 157         报告\n",
       " 159         报告\n",
       " 172         报告\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 169         基金,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
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       " Index: [],\n",
       "       variable\n",
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       " 4           数据\n",
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       " 8           数据\n",
       " ...        ...\n",
       " 224         数据\n",
       " 227         数据\n",
       " 228         数据\n",
       " 229         数据\n",
       " 233         数据\n",
       " \n",
       " [113 rows x 1 columns],\n",
       "       variable\n",
       " value         \n",
       " 5         数据赋能\n",
       " 57        数据赋能\n",
       " 109       数据赋能,\n",
       "       variable\n",
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       " 19          智能\n",
       " 37          智能\n",
       " 39          智能\n",
       " 43          智能\n",
       " 51          智能\n",
       " 156         智能\n",
       " 182         智能,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
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       " Index: [],\n",
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       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       " 5         高峰论坛\n",
       " 57        高峰论坛,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
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       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 205         开放\n",
       " 216         开放,\n",
       "       variable\n",
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       " 167         生态\n",
       " 173         生态\n",
       " 223         生态,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: []]"
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       "[      variable\n",
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       " 1             \n",
       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 230           \n",
       " 231           \n",
       " 232           \n",
       " 233           \n",
       " 234           \n",
       " \n",
       " [235 rows x 1 columns],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
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       " Columns: [variable]\n",
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       " Empty DataFrame\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 35          大咖\n",
       " 99          大咖,\n",
       "       variable\n",
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       " 45          听说,\n",
       "       variable\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       " 92          品牌,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       " 52          报告\n",
       " 61          报告\n",
       " 75          报告\n",
       " 87          报告\n",
       " 91          报告\n",
       " 92          报告\n",
       " 94          报告\n",
       " 98          报告\n",
       " 106         报告\n",
       " 157         报告\n",
       " 159         报告\n",
       " 172         报告\n",
       " 192         报告,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 169         基金,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       " 2           数据\n",
       " 4           数据\n",
       " 5           数据\n",
       " 8           数据\n",
       " ...        ...\n",
       " 224         数据\n",
       " 227         数据\n",
       " 228         数据\n",
       " 229         数据\n",
       " 233         数据\n",
       " \n",
       " [113 rows x 1 columns],\n",
       "       variable\n",
       " value         \n",
       " 5         数据赋能\n",
       " 57        数据赋能\n",
       " 109       数据赋能,\n",
       "       variable\n",
       " value         \n",
       " 19          智能\n",
       " 37          智能\n",
       " 39          智能\n",
       " 43          智能\n",
       " 51          智能\n",
       " 156         智能\n",
       " 182         智能,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 5         高峰论坛\n",
       " 57        高峰论坛,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 205         开放\n",
       " 216         开放,\n",
       "       variable\n",
       " value         \n",
       " 167         生态\n",
       " 173         生态\n",
       " 223         生态,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: []]"
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     "metadata": {},
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     "data": {
      "text/plain": [
       "[      variable\n",
       " value         \n",
       " 0             \n",
       " 1             \n",
       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 230           \n",
       " 231           \n",
       " 232           \n",
       " 233           \n",
       " 234           \n",
       " \n",
       " [235 rows x 1 columns],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 35          大咖\n",
       " 99          大咖,\n",
       "       variable\n",
       " value         \n",
       " 45          听说,\n",
       "       variable\n",
       " value         \n",
       " 54          图片,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 1           品牌\n",
       " 3           品牌\n",
       " 92          品牌,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 9           报告\n",
       " 22          报告\n",
       " 52          报告\n",
       " 61          报告\n",
       " 75          报告\n",
       " 87          报告\n",
       " 91          报告\n",
       " 92          报告\n",
       " 94          报告\n",
       " 98          报告\n",
       " 106         报告\n",
       " 157         报告\n",
       " 159         报告\n",
       " 172         报告\n",
       " 192         报告,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 169         基金,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 0           数据\n",
       " 2           数据\n",
       " 4           数据\n",
       " 5           数据\n",
       " 8           数据\n",
       " ...        ...\n",
       " 224         数据\n",
       " 227         数据\n",
       " 228         数据\n",
       " 229         数据\n",
       " 233         数据\n",
       " \n",
       " [113 rows x 1 columns],\n",
       "       variable\n",
       " value         \n",
       " 5         数据赋能\n",
       " 57        数据赋能\n",
       " 109       数据赋能,\n",
       "       variable\n",
       " value         \n",
       " 19          智能\n",
       " 37          智能\n",
       " 39          智能\n",
       " 43          智能\n",
       " 51          智能\n",
       " 156         智能\n",
       " 182         智能,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 5         高峰论坛\n",
       " 57        高峰论坛,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 205         开放\n",
       " 216         开放,\n",
       "       variable\n",
       " value         \n",
       " 167         生态\n",
       " 173         生态\n",
       " 223         生态,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: []]"
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     "data": {
      "text/plain": [
       "[      variable\n",
       " value         \n",
       " 0             \n",
       " 1             \n",
       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 230           \n",
       " 231           \n",
       " 232           \n",
       " 233           \n",
       " 234           \n",
       " \n",
       " [235 rows x 1 columns],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
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       " Index: [],\n",
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       " Index: [],\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 35          大咖\n",
       " 99          大咖,\n",
       "       variable\n",
       " value         \n",
       " 45          听说,\n",
       "       variable\n",
       " value         \n",
       " 54          图片,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 1           品牌\n",
       " 3           品牌\n",
       " 92          品牌,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 9           报告\n",
       " 22          报告\n",
       " 52          报告\n",
       " 61          报告\n",
       " 75          报告\n",
       " 87          报告\n",
       " 91          报告\n",
       " 92          报告\n",
       " 94          报告\n",
       " 98          报告\n",
       " 106         报告\n",
       " 157         报告\n",
       " 159         报告\n",
       " 172         报告\n",
       " 192         报告,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 169         基金,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 0           数据\n",
       " 2           数据\n",
       " 4           数据\n",
       " 5           数据\n",
       " 8           数据\n",
       " ...        ...\n",
       " 224         数据\n",
       " 227         数据\n",
       " 228         数据\n",
       " 229         数据\n",
       " 233         数据\n",
       " \n",
       " [113 rows x 1 columns],\n",
       "       variable\n",
       " value         \n",
       " 5         数据赋能\n",
       " 57        数据赋能\n",
       " 109       数据赋能,\n",
       "       variable\n",
       " value         \n",
       " 19          智能\n",
       " 37          智能\n",
       " 39          智能\n",
       " 43          智能\n",
       " 51          智能\n",
       " 156         智能\n",
       " 182         智能,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 5         高峰论坛\n",
       " 57        高峰论坛,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 205         开放\n",
       " 216         开放,\n",
       "       variable\n",
       " value         \n",
       " 167         生态\n",
       " 173         生态\n",
       " 223         生态,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 47          城市]"
      ]
     },
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    },
    {
     "data": {
      "text/plain": [
       "[      variable\n",
       " value         \n",
       " 0             \n",
       " 1             \n",
       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 230           \n",
       " 231           \n",
       " 232           \n",
       " 233           \n",
       " 234           \n",
       " \n",
       " [235 rows x 1 columns],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 35          大咖\n",
       " 99          大咖,\n",
       "       variable\n",
       " value         \n",
       " 45          听说,\n",
       "       variable\n",
       " value         \n",
       " 54          图片,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 1           品牌\n",
       " 3           品牌\n",
       " 92          品牌,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 9           报告\n",
       " 22          报告\n",
       " 52          报告\n",
       " 61          报告\n",
       " 75          报告\n",
       " 87          报告\n",
       " 91          报告\n",
       " 92          报告\n",
       " 94          报告\n",
       " 98          报告\n",
       " 106         报告\n",
       " 157         报告\n",
       " 159         报告\n",
       " 172         报告\n",
       " 192         报告,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 169         基金,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 0           数据\n",
       " 2           数据\n",
       " 4           数据\n",
       " 5           数据\n",
       " 8           数据\n",
       " ...        ...\n",
       " 224         数据\n",
       " 227         数据\n",
       " 228         数据\n",
       " 229         数据\n",
       " 233         数据\n",
       " \n",
       " [113 rows x 1 columns],\n",
       "       variable\n",
       " value         \n",
       " 5         数据赋能\n",
       " 57        数据赋能\n",
       " 109       数据赋能,\n",
       "       variable\n",
       " value         \n",
       " 19          智能\n",
       " 37          智能\n",
       " 39          智能\n",
       " 43          智能\n",
       " 51          智能\n",
       " 156         智能\n",
       " 182         智能,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 5         高峰论坛\n",
       " 57        高峰论坛,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 205         开放\n",
       " 216         开放,\n",
       "       variable\n",
       " value         \n",
       " 167         生态\n",
       " 173         生态\n",
       " 223         生态,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 47          城市,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: []]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "[      variable\n",
       " value         \n",
       " 0             \n",
       " 1             \n",
       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 230           \n",
       " 231           \n",
       " 232           \n",
       " 233           \n",
       " 234           \n",
       " \n",
       " [235 rows x 1 columns],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
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       " Index: [],\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 35          大咖\n",
       " 99          大咖,\n",
       "       variable\n",
       " value         \n",
       " 45          听说,\n",
       "       variable\n",
       " value         \n",
       " 54          图片,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
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       " Columns: [variable]\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       " 22          报告\n",
       " 52          报告\n",
       " 61          报告\n",
       " 75          报告\n",
       " 87          报告\n",
       " 91          报告\n",
       " 92          报告\n",
       " 94          报告\n",
       " 98          报告\n",
       " 106         报告\n",
       " 157         报告\n",
       " 159         报告\n",
       " 172         报告\n",
       " 192         报告,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 169         基金,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       " 0           数据\n",
       " 2           数据\n",
       " 4           数据\n",
       " 5           数据\n",
       " 8           数据\n",
       " ...        ...\n",
       " 224         数据\n",
       " 227         数据\n",
       " 228         数据\n",
       " 229         数据\n",
       " 233         数据\n",
       " \n",
       " [113 rows x 1 columns],\n",
       "       variable\n",
       " value         \n",
       " 5         数据赋能\n",
       " 57        数据赋能\n",
       " 109       数据赋能,\n",
       "       variable\n",
       " value         \n",
       " 19          智能\n",
       " 37          智能\n",
       " 39          智能\n",
       " 43          智能\n",
       " 51          智能\n",
       " 156         智能\n",
       " 182         智能,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
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       " Index: [],\n",
       " Empty DataFrame\n",
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       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 5         高峰论坛\n",
       " 57        高峰论坛,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 205         开放\n",
       " 216         开放,\n",
       "       variable\n",
       " value         \n",
       " 167         生态\n",
       " 173         生态\n",
       " 223         生态,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 47          城市,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 152         平台\n",
       " 203         平台]"
      ]
     },
     "metadata": {},
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    },
    {
     "data": {
      "text/plain": [
       "[      variable\n",
       " value         \n",
       " 0             \n",
       " 1             \n",
       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 230           \n",
       " 231           \n",
       " 232           \n",
       " 233           \n",
       " 234           \n",
       " \n",
       " [235 rows x 1 columns],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
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       " Empty DataFrame\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 35          大咖\n",
       " 99          大咖,\n",
       "       variable\n",
       " value         \n",
       " 45          听说,\n",
       "       variable\n",
       " value         \n",
       " 54          图片,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 1           品牌\n",
       " 3           品牌\n",
       " 92          品牌,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 9           报告\n",
       " 22          报告\n",
       " 52          报告\n",
       " 61          报告\n",
       " 75          报告\n",
       " 87          报告\n",
       " 91          报告\n",
       " 92          报告\n",
       " 94          报告\n",
       " 98          报告\n",
       " 106         报告\n",
       " 157         报告\n",
       " 159         报告\n",
       " 172         报告\n",
       " 192         报告,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 169         基金,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 0           数据\n",
       " 2           数据\n",
       " 4           数据\n",
       " 5           数据\n",
       " 8           数据\n",
       " ...        ...\n",
       " 224         数据\n",
       " 227         数据\n",
       " 228         数据\n",
       " 229         数据\n",
       " 233         数据\n",
       " \n",
       " [113 rows x 1 columns],\n",
       "       variable\n",
       " value         \n",
       " 5         数据赋能\n",
       " 57        数据赋能\n",
       " 109       数据赋能,\n",
       "       variable\n",
       " value         \n",
       " 19          智能\n",
       " 37          智能\n",
       " 39          智能\n",
       " 43          智能\n",
       " 51          智能\n",
       " 156         智能\n",
       " 182         智能,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 5         高峰论坛\n",
       " 57        高峰论坛,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 205         开放\n",
       " 216         开放,\n",
       "       variable\n",
       " value         \n",
       " 167         生态\n",
       " 173         生态\n",
       " 223         生态,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 47          城市,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 152         平台\n",
       " 203         平台,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: []]"
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     "data": {
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       "[      variable\n",
       " value         \n",
       " 0             \n",
       " 1             \n",
       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 230           \n",
       " 231           \n",
       " 232           \n",
       " 233           \n",
       " 234           \n",
       " \n",
       " [235 rows x 1 columns],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
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       " Columns: [variable]\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
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       " Columns: [variable]\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 35          大咖\n",
       " 99          大咖,\n",
       "       variable\n",
       " value         \n",
       " 45          听说,\n",
       "       variable\n",
       " value         \n",
       " 54          图片,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
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       " Index: [],\n",
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       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       " 22          报告\n",
       " 52          报告\n",
       " 61          报告\n",
       " 75          报告\n",
       " 87          报告\n",
       " 91          报告\n",
       " 92          报告\n",
       " 94          报告\n",
       " 98          报告\n",
       " 106         报告\n",
       " 157         报告\n",
       " 159         报告\n",
       " 172         报告\n",
       " 192         报告,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 169         基金,\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       " 0           数据\n",
       " 2           数据\n",
       " 4           数据\n",
       " 5           数据\n",
       " 8           数据\n",
       " ...        ...\n",
       " 224         数据\n",
       " 227         数据\n",
       " 228         数据\n",
       " 229         数据\n",
       " 233         数据\n",
       " \n",
       " [113 rows x 1 columns],\n",
       "       variable\n",
       " value         \n",
       " 5         数据赋能\n",
       " 57        数据赋能\n",
       " 109       数据赋能,\n",
       "       variable\n",
       " value         \n",
       " 19          智能\n",
       " 37          智能\n",
       " 39          智能\n",
       " 43          智能\n",
       " 51          智能\n",
       " 156         智能\n",
       " 182         智能,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
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       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 5         高峰论坛\n",
       " 57        高峰论坛,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
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       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
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       " 216         开放,\n",
       "       variable\n",
       " value         \n",
       " 167         生态\n",
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       " 223         生态,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 47          城市,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 152         平台\n",
       " 203         平台,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 19          未来\n",
       " 24          未来\n",
       " 154         未来\n",
       " 183         未来]"
      ]
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     "data": {
      "text/plain": [
       "[      variable\n",
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       " 1             \n",
       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 230           \n",
       " 231           \n",
       " 232           \n",
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       " \n",
       " [235 rows x 1 columns],\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
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       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
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       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 35          大咖\n",
       " 99          大咖,\n",
       "       variable\n",
       " value         \n",
       " 45          听说,\n",
       "       variable\n",
       " value         \n",
       " 54          图片,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 1           品牌\n",
       " 3           品牌\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       " 22          报告\n",
       " 52          报告\n",
       " 61          报告\n",
       " 75          报告\n",
       " 87          报告\n",
       " 91          报告\n",
       " 92          报告\n",
       " 94          报告\n",
       " 98          报告\n",
       " 106         报告\n",
       " 157         报告\n",
       " 159         报告\n",
       " 172         报告\n",
       " 192         报告,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 169         基金,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 0           数据\n",
       " 2           数据\n",
       " 4           数据\n",
       " 5           数据\n",
       " 8           数据\n",
       " ...        ...\n",
       " 224         数据\n",
       " 227         数据\n",
       " 228         数据\n",
       " 229         数据\n",
       " 233         数据\n",
       " \n",
       " [113 rows x 1 columns],\n",
       "       variable\n",
       " value         \n",
       " 5         数据赋能\n",
       " 57        数据赋能\n",
       " 109       数据赋能,\n",
       "       variable\n",
       " value         \n",
       " 19          智能\n",
       " 37          智能\n",
       " 39          智能\n",
       " 43          智能\n",
       " 51          智能\n",
       " 156         智能\n",
       " 182         智能,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 5         高峰论坛\n",
       " 57        高峰论坛,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 205         开放\n",
       " 216         开放,\n",
       "       variable\n",
       " value         \n",
       " 167         生态\n",
       " 173         生态\n",
       " 223         生态,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 47          城市,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 152         平台\n",
       " 203         平台,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 19          未来\n",
       " 24          未来\n",
       " 154         未来\n",
       " 183         未来,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: []]"
      ]
     },
     "metadata": {},
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     "data": {
      "text/plain": [
       "[      variable\n",
       " value         \n",
       " 0             \n",
       " 1             \n",
       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 230           \n",
       " 231           \n",
       " 232           \n",
       " 233           \n",
       " 234           \n",
       " \n",
       " [235 rows x 1 columns],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Columns: [variable]\n",
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       " Index: [],\n",
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       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 35          大咖\n",
       " 99          大咖,\n",
       "       variable\n",
       " value         \n",
       " 45          听说,\n",
       "       variable\n",
       " value         \n",
       " 54          图片,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 1           品牌\n",
       " 3           品牌\n",
       " 92          品牌,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 9           报告\n",
       " 22          报告\n",
       " 52          报告\n",
       " 61          报告\n",
       " 75          报告\n",
       " 87          报告\n",
       " 91          报告\n",
       " 92          报告\n",
       " 94          报告\n",
       " 98          报告\n",
       " 106         报告\n",
       " 157         报告\n",
       " 159         报告\n",
       " 172         报告\n",
       " 192         报告,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 169         基金,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 0           数据\n",
       " 2           数据\n",
       " 4           数据\n",
       " 5           数据\n",
       " 8           数据\n",
       " ...        ...\n",
       " 224         数据\n",
       " 227         数据\n",
       " 228         数据\n",
       " 229         数据\n",
       " 233         数据\n",
       " \n",
       " [113 rows x 1 columns],\n",
       "       variable\n",
       " value         \n",
       " 5         数据赋能\n",
       " 57        数据赋能\n",
       " 109       数据赋能,\n",
       "       variable\n",
       " value         \n",
       " 19          智能\n",
       " 37          智能\n",
       " 39          智能\n",
       " 43          智能\n",
       " 51          智能\n",
       " 156         智能\n",
       " 182         智能,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 5         高峰论坛\n",
       " 57        高峰论坛,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 205         开放\n",
       " 216         开放,\n",
       "       variable\n",
       " value         \n",
       " 167         生态\n",
       " 173         生态\n",
       " 223         生态,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 47          城市,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 152         平台\n",
       " 203         平台,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 19          未来\n",
       " 24          未来\n",
       " 154         未来\n",
       " 183         未来,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: []]"
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     "metadata": {},
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     "data": {
      "text/plain": [
       "[      variable\n",
       " value         \n",
       " 0             \n",
       " 1             \n",
       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 230           \n",
       " 231           \n",
       " 232           \n",
       " 233           \n",
       " 234           \n",
       " \n",
       " [235 rows x 1 columns],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Index: [],\n",
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       " Index: [],\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 35          大咖\n",
       " 99          大咖,\n",
       "       variable\n",
       " value         \n",
       " 45          听说,\n",
       "       variable\n",
       " value         \n",
       " 54          图片,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
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       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 1           品牌\n",
       " 3           品牌\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       " 22          报告\n",
       " 52          报告\n",
       " 61          报告\n",
       " 75          报告\n",
       " 87          报告\n",
       " 91          报告\n",
       " 92          报告\n",
       " 94          报告\n",
       " 98          报告\n",
       " 106         报告\n",
       " 157         报告\n",
       " 159         报告\n",
       " 172         报告\n",
       " 192         报告,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 169         基金,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 0           数据\n",
       " 2           数据\n",
       " 4           数据\n",
       " 5           数据\n",
       " 8           数据\n",
       " ...        ...\n",
       " 224         数据\n",
       " 227         数据\n",
       " 228         数据\n",
       " 229         数据\n",
       " 233         数据\n",
       " \n",
       " [113 rows x 1 columns],\n",
       "       variable\n",
       " value         \n",
       " 5         数据赋能\n",
       " 57        数据赋能\n",
       " 109       数据赋能,\n",
       "       variable\n",
       " value         \n",
       " 19          智能\n",
       " 37          智能\n",
       " 39          智能\n",
       " 43          智能\n",
       " 51          智能\n",
       " 156         智能\n",
       " 182         智能,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
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       " Index: [],\n",
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       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 5         高峰论坛\n",
       " 57        高峰论坛,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 205         开放\n",
       " 216         开放,\n",
       "       variable\n",
       " value         \n",
       " 167         生态\n",
       " 173         生态\n",
       " 223         生态,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 47          城市,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 152         平台\n",
       " 203         平台,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 19          未来\n",
       " 24          未来\n",
       " 154         未来\n",
       " 183         未来,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: []]"
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     "metadata": {},
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    {
     "data": {
      "text/plain": [
       "[      variable\n",
       " value         \n",
       " 0             \n",
       " 1             \n",
       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 230           \n",
       " 231           \n",
       " 232           \n",
       " 233           \n",
       " 234           \n",
       " \n",
       " [235 rows x 1 columns],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 35          大咖\n",
       " 99          大咖,\n",
       "       variable\n",
       " value         \n",
       " 45          听说,\n",
       "       variable\n",
       " value         \n",
       " 54          图片,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 1           品牌\n",
       " 3           品牌\n",
       " 92          品牌,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 9           报告\n",
       " 22          报告\n",
       " 52          报告\n",
       " 61          报告\n",
       " 75          报告\n",
       " 87          报告\n",
       " 91          报告\n",
       " 92          报告\n",
       " 94          报告\n",
       " 98          报告\n",
       " 106         报告\n",
       " 157         报告\n",
       " 159         报告\n",
       " 172         报告\n",
       " 192         报告,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 169         基金,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 0           数据\n",
       " 2           数据\n",
       " 4           数据\n",
       " 5           数据\n",
       " 8           数据\n",
       " ...        ...\n",
       " 224         数据\n",
       " 227         数据\n",
       " 228         数据\n",
       " 229         数据\n",
       " 233         数据\n",
       " \n",
       " [113 rows x 1 columns],\n",
       "       variable\n",
       " value         \n",
       " 5         数据赋能\n",
       " 57        数据赋能\n",
       " 109       数据赋能,\n",
       "       variable\n",
       " value         \n",
       " 19          智能\n",
       " 37          智能\n",
       " 39          智能\n",
       " 43          智能\n",
       " 51          智能\n",
       " 156         智能\n",
       " 182         智能,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 5         高峰论坛\n",
       " 57        高峰论坛,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 205         开放\n",
       " 216         开放,\n",
       "       variable\n",
       " value         \n",
       " 167         生态\n",
       " 173         生态\n",
       " 223         生态,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 47          城市,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 152         平台\n",
       " 203         平台,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 19          未来\n",
       " 24          未来\n",
       " 154         未来\n",
       " 183         未来,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 23          小时\n",
       " 25          小时\n",
       " 180         小时]"
      ]
     },
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     "data": {
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       "[      variable\n",
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       " 1             \n",
       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 230           \n",
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       " 232           \n",
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       " \n",
       " [235 rows x 1 columns],\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 35          大咖\n",
       " 99          大咖,\n",
       "       variable\n",
       " value         \n",
       " 45          听说,\n",
       "       variable\n",
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       " 54          图片,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
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       " Index: [],\n",
       "       variable\n",
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       " 61          报告\n",
       " 75          报告\n",
       " 87          报告\n",
       " 91          报告\n",
       " 92          报告\n",
       " 94          报告\n",
       " 98          报告\n",
       " 106         报告\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       " Index: [],\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
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       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
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       " Index: [],\n",
       "       variable\n",
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       " 4           数据\n",
       " 5           数据\n",
       " 8           数据\n",
       " ...        ...\n",
       " 224         数据\n",
       " 227         数据\n",
       " 228         数据\n",
       " 229         数据\n",
       " 233         数据\n",
       " \n",
       " [113 rows x 1 columns],\n",
       "       variable\n",
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       " 5         数据赋能\n",
       " 57        数据赋能\n",
       " 109       数据赋能,\n",
       "       variable\n",
       " value         \n",
       " 19          智能\n",
       " 37          智能\n",
       " 39          智能\n",
       " 43          智能\n",
       " 51          智能\n",
       " 156         智能\n",
       " 182         智能,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
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       " Index: [],\n",
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       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 5         高峰论坛\n",
       " 57        高峰论坛,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
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       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
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       " 216         开放,\n",
       "       variable\n",
       " value         \n",
       " 167         生态\n",
       " 173         生态\n",
       " 223         生态,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 47          城市,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 152         平台\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 19          未来\n",
       " 24          未来\n",
       " 154         未来\n",
       " 183         未来,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 23          小时\n",
       " 25          小时\n",
       " 180         小时,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: []]"
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      "text/plain": [
       "[      variable\n",
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       " 1             \n",
       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 230           \n",
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       " 232           \n",
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       " 234           \n",
       " \n",
       " [235 rows x 1 columns],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
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       " Index: [],\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 35          大咖\n",
       " 99          大咖,\n",
       "       variable\n",
       " value         \n",
       " 45          听说,\n",
       "       variable\n",
       " value         \n",
       " 54          图片,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 1           品牌\n",
       " 3           品牌\n",
       " 92          品牌,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       " 22          报告\n",
       " 52          报告\n",
       " 61          报告\n",
       " 75          报告\n",
       " 87          报告\n",
       " 91          报告\n",
       " 92          报告\n",
       " 94          报告\n",
       " 98          报告\n",
       " 106         报告\n",
       " 157         报告\n",
       " 159         报告\n",
       " 172         报告\n",
       " 192         报告,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 169         基金,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 0           数据\n",
       " 2           数据\n",
       " 4           数据\n",
       " 5           数据\n",
       " 8           数据\n",
       " ...        ...\n",
       " 224         数据\n",
       " 227         数据\n",
       " 228         数据\n",
       " 229         数据\n",
       " 233         数据\n",
       " \n",
       " [113 rows x 1 columns],\n",
       "       variable\n",
       " value         \n",
       " 5         数据赋能\n",
       " 57        数据赋能\n",
       " 109       数据赋能,\n",
       "       variable\n",
       " value         \n",
       " 19          智能\n",
       " 37          智能\n",
       " 39          智能\n",
       " 43          智能\n",
       " 51          智能\n",
       " 156         智能\n",
       " 182         智能,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 5         高峰论坛\n",
       " 57        高峰论坛,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 205         开放\n",
       " 216         开放,\n",
       "       variable\n",
       " value         \n",
       " 167         生态\n",
       " 173         生态\n",
       " 223         生态,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 47          城市,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 152         平台\n",
       " 203         平台,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 19          未来\n",
       " 24          未来\n",
       " 154         未来\n",
       " 183         未来,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 23          小时\n",
       " 25          小时\n",
       " 180         小时,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: []]"
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     "data": {
      "text/plain": [
       "[      variable\n",
       " value         \n",
       " 0             \n",
       " 1             \n",
       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 230           \n",
       " 231           \n",
       " 232           \n",
       " 233           \n",
       " 234           \n",
       " \n",
       " [235 rows x 1 columns],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 35          大咖\n",
       " 99          大咖,\n",
       "       variable\n",
       " value         \n",
       " 45          听说,\n",
       "       variable\n",
       " value         \n",
       " 54          图片,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 1           品牌\n",
       " 3           品牌\n",
       " 92          品牌,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 9           报告\n",
       " 22          报告\n",
       " 52          报告\n",
       " 61          报告\n",
       " 75          报告\n",
       " 87          报告\n",
       " 91          报告\n",
       " 92          报告\n",
       " 94          报告\n",
       " 98          报告\n",
       " 106         报告\n",
       " 157         报告\n",
       " 159         报告\n",
       " 172         报告\n",
       " 192         报告,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 169         基金,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 0           数据\n",
       " 2           数据\n",
       " 4           数据\n",
       " 5           数据\n",
       " 8           数据\n",
       " ...        ...\n",
       " 224         数据\n",
       " 227         数据\n",
       " 228         数据\n",
       " 229         数据\n",
       " 233         数据\n",
       " \n",
       " [113 rows x 1 columns],\n",
       "       variable\n",
       " value         \n",
       " 5         数据赋能\n",
       " 57        数据赋能\n",
       " 109       数据赋能,\n",
       "       variable\n",
       " value         \n",
       " 19          智能\n",
       " 37          智能\n",
       " 39          智能\n",
       " 43          智能\n",
       " 51          智能\n",
       " 156         智能\n",
       " 182         智能,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 5         高峰论坛\n",
       " 57        高峰论坛,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 205         开放\n",
       " 216         开放,\n",
       "       variable\n",
       " value         \n",
       " 167         生态\n",
       " 173         生态\n",
       " 223         生态,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 47          城市,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 152         平台\n",
       " 203         平台,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 19          未来\n",
       " 24          未来\n",
       " 154         未来\n",
       " 183         未来,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 23          小时\n",
       " 25          小时\n",
       " 180         小时,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: []]"
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     },
     "metadata": {},
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    {
     "data": {
      "text/plain": [
       "[      variable\n",
       " value         \n",
       " 0             \n",
       " 1             \n",
       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 230           \n",
       " 231           \n",
       " 232           \n",
       " 233           \n",
       " 234           \n",
       " \n",
       " [235 rows x 1 columns],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 35          大咖\n",
       " 99          大咖,\n",
       "       variable\n",
       " value         \n",
       " 45          听说,\n",
       "       variable\n",
       " value         \n",
       " 54          图片,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 1           品牌\n",
       " 3           品牌\n",
       " 92          品牌,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       " 9           报告\n",
       " 22          报告\n",
       " 52          报告\n",
       " 61          报告\n",
       " 75          报告\n",
       " 87          报告\n",
       " 91          报告\n",
       " 92          报告\n",
       " 94          报告\n",
       " 98          报告\n",
       " 106         报告\n",
       " 157         报告\n",
       " 159         报告\n",
       " 172         报告\n",
       " 192         报告,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 169         基金,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 0           数据\n",
       " 2           数据\n",
       " 4           数据\n",
       " 5           数据\n",
       " 8           数据\n",
       " ...        ...\n",
       " 224         数据\n",
       " 227         数据\n",
       " 228         数据\n",
       " 229         数据\n",
       " 233         数据\n",
       " \n",
       " [113 rows x 1 columns],\n",
       "       variable\n",
       " value         \n",
       " 5         数据赋能\n",
       " 57        数据赋能\n",
       " 109       数据赋能,\n",
       "       variable\n",
       " value         \n",
       " 19          智能\n",
       " 37          智能\n",
       " 39          智能\n",
       " 43          智能\n",
       " 51          智能\n",
       " 156         智能\n",
       " 182         智能,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 5         高峰论坛\n",
       " 57        高峰论坛,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 205         开放\n",
       " 216         开放,\n",
       "       variable\n",
       " value         \n",
       " 167         生态\n",
       " 173         生态\n",
       " 223         生态,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 47          城市,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 152         平台\n",
       " 203         平台,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 19          未来\n",
       " 24          未来\n",
       " 154         未来\n",
       " 183         未来,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 23          小时\n",
       " 25          小时\n",
       " 180         小时,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 13           疫\n",
       " 77           疫]"
      ]
     },
     "metadata": {},
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    },
    {
     "data": {
      "text/plain": [
       "[      variable\n",
       " value         \n",
       " 0             \n",
       " 1             \n",
       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 230           \n",
       " 231           \n",
       " 232           \n",
       " 233           \n",
       " 234           \n",
       " \n",
       " [235 rows x 1 columns],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 35          大咖\n",
       " 99          大咖,\n",
       "       variable\n",
       " value         \n",
       " 45          听说,\n",
       "       variable\n",
       " value         \n",
       " 54          图片,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 1           品牌\n",
       " 3           品牌\n",
       " 92          品牌,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 9           报告\n",
       " 22          报告\n",
       " 52          报告\n",
       " 61          报告\n",
       " 75          报告\n",
       " 87          报告\n",
       " 91          报告\n",
       " 92          报告\n",
       " 94          报告\n",
       " 98          报告\n",
       " 106         报告\n",
       " 157         报告\n",
       " 159         报告\n",
       " 172         报告\n",
       " 192         报告,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 169         基金,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 0           数据\n",
       " 2           数据\n",
       " 4           数据\n",
       " 5           数据\n",
       " 8           数据\n",
       " ...        ...\n",
       " 224         数据\n",
       " 227         数据\n",
       " 228         数据\n",
       " 229         数据\n",
       " 233         数据\n",
       " \n",
       " [113 rows x 1 columns],\n",
       "       variable\n",
       " value         \n",
       " 5         数据赋能\n",
       " 57        数据赋能\n",
       " 109       数据赋能,\n",
       "       variable\n",
       " value         \n",
       " 19          智能\n",
       " 37          智能\n",
       " 39          智能\n",
       " 43          智能\n",
       " 51          智能\n",
       " 156         智能\n",
       " 182         智能,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 5         高峰论坛\n",
       " 57        高峰论坛,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 205         开放\n",
       " 216         开放,\n",
       "       variable\n",
       " value         \n",
       " 167         生态\n",
       " 173         生态\n",
       " 223         生态,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 47          城市,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       " 152         平台\n",
       " 203         平台,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 19          未来\n",
       " 24          未来\n",
       " 154         未来\n",
       " 183         未来,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 23          小时\n",
       " 25          小时\n",
       " 180         小时,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 13           疫\n",
       " 77           疫,\n",
       "       variable\n",
       " value         \n",
       " 13          疫情]"
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       "[      variable\n",
       " value         \n",
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       " 1             \n",
       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 230           \n",
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       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 35          大咖\n",
       " 99          大咖,\n",
       "       variable\n",
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       " 45          听说,\n",
       "       variable\n",
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       " Empty DataFrame\n",
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       " Index: [],\n",
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       " 61          报告\n",
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       " 87          报告\n",
       " 91          报告\n",
       " 92          报告\n",
       " 94          报告\n",
       " 98          报告\n",
       " 106         报告\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
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       " Index: [],\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
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       " 4           数据\n",
       " 5           数据\n",
       " 8           数据\n",
       " ...        ...\n",
       " 224         数据\n",
       " 227         数据\n",
       " 228         数据\n",
       " 229         数据\n",
       " 233         数据\n",
       " \n",
       " [113 rows x 1 columns],\n",
       "       variable\n",
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       " 5         数据赋能\n",
       " 57        数据赋能\n",
       " 109       数据赋能,\n",
       "       variable\n",
       " value         \n",
       " 19          智能\n",
       " 37          智能\n",
       " 39          智能\n",
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       " 182         智能,\n",
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       " Empty DataFrame\n",
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       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       " 5         高峰论坛\n",
       " 57        高峰论坛,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
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       " Index: [],\n",
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       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
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       " Index: [],\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
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       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Index: [],\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
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       " 216         开放,\n",
       "       variable\n",
       " value         \n",
       " 167         生态\n",
       " 173         生态\n",
       " 223         生态,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
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       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 47          城市,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       " 154         未来\n",
       " 183         未来,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 23          小时\n",
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       " 180         小时,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
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       " 77           疫,\n",
       "       variable\n",
       " value         \n",
       " 13          疫情,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: []]"
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     "data": {
      "text/plain": [
       "[      variable\n",
       " value         \n",
       " 0             \n",
       " 1             \n",
       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 230           \n",
       " 231           \n",
       " 232           \n",
       " 233           \n",
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       " \n",
       " [235 rows x 1 columns],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
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       " Index: [],\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 35          大咖\n",
       " 99          大咖,\n",
       "       variable\n",
       " value         \n",
       " 45          听说,\n",
       "       variable\n",
       " value         \n",
       " 54          图片,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       " 52          报告\n",
       " 61          报告\n",
       " 75          报告\n",
       " 87          报告\n",
       " 91          报告\n",
       " 92          报告\n",
       " 94          报告\n",
       " 98          报告\n",
       " 106         报告\n",
       " 157         报告\n",
       " 159         报告\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 169         基金,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
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       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       " 2           数据\n",
       " 4           数据\n",
       " 5           数据\n",
       " 8           数据\n",
       " ...        ...\n",
       " 224         数据\n",
       " 227         数据\n",
       " 228         数据\n",
       " 229         数据\n",
       " 233         数据\n",
       " \n",
       " [113 rows x 1 columns],\n",
       "       variable\n",
       " value         \n",
       " 5         数据赋能\n",
       " 57        数据赋能\n",
       " 109       数据赋能,\n",
       "       variable\n",
       " value         \n",
       " 19          智能\n",
       " 37          智能\n",
       " 39          智能\n",
       " 43          智能\n",
       " 51          智能\n",
       " 156         智能\n",
       " 182         智能,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 205         开放\n",
       " 216         开放,\n",
       "       variable\n",
       " value         \n",
       " 167         生态\n",
       " 173         生态\n",
       " 223         生态,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       " 47          城市,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       " 152         平台\n",
       " 203         平台,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 19          未来\n",
       " 24          未来\n",
       " 154         未来\n",
       " 183         未来,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 23          小时\n",
       " 25          小时\n",
       " 180         小时,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 13           疫\n",
       " 77           疫,\n",
       "       variable\n",
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       " 13          疫情,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: []]"
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       "[      variable\n",
       " value         \n",
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       " 1             \n",
       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 230           \n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 35          大咖\n",
       " 99          大咖,\n",
       "       variable\n",
       " value         \n",
       " 45          听说,\n",
       "       variable\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       " Index: [],\n",
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       " 61          报告\n",
       " 75          报告\n",
       " 87          报告\n",
       " 91          报告\n",
       " 92          报告\n",
       " 94          报告\n",
       " 98          报告\n",
       " 106         报告\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 169         基金,\n",
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       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
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       " Index: [],\n",
       "       variable\n",
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       " 4           数据\n",
       " 5           数据\n",
       " 8           数据\n",
       " ...        ...\n",
       " 224         数据\n",
       " 227         数据\n",
       " 228         数据\n",
       " 229         数据\n",
       " 233         数据\n",
       " \n",
       " [113 rows x 1 columns],\n",
       "       variable\n",
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       " 5         数据赋能\n",
       " 57        数据赋能\n",
       " 109       数据赋能,\n",
       "       variable\n",
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       " 19          智能\n",
       " 37          智能\n",
       " 39          智能\n",
       " 43          智能\n",
       " 51          智能\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
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       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
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       " Index: [],\n",
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       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
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       " Index: [],\n",
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       " Index: [],\n",
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       " Index: [],\n",
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       " Index: [],\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
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       "       variable\n",
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       " 223         生态,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       " 47          城市,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       " 154         未来\n",
       " 183         未来,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       " 25          小时\n",
       " 180         小时,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
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       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
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       "       variable\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: []]"
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      "text/plain": [
       "[      variable\n",
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       " 0             \n",
       " 1             \n",
       " 2             \n",
       " 3             \n",
       " 4             \n",
       " ...        ...\n",
       " 230           \n",
       " 231           \n",
       " 232           \n",
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       " 234           \n",
       " \n",
       " [235 rows x 1 columns],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 35          大咖\n",
       " 99          大咖,\n",
       "       variable\n",
       " value         \n",
       " 45          听说,\n",
       "       variable\n",
       " value         \n",
       " 54          图片,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
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       " Columns: [variable]\n",
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       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
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       " Index: [],\n",
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       " 52          报告\n",
       " 61          报告\n",
       " 75          报告\n",
       " 87          报告\n",
       " 91          报告\n",
       " 92          报告\n",
       " 94          报告\n",
       " 98          报告\n",
       " 106         报告\n",
       " 157         报告\n",
       " 159         报告\n",
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       " 192         报告,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 169         基金,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       " 0           数据\n",
       " 2           数据\n",
       " 4           数据\n",
       " 5           数据\n",
       " 8           数据\n",
       " ...        ...\n",
       " 224         数据\n",
       " 227         数据\n",
       " 228         数据\n",
       " 229         数据\n",
       " 233         数据\n",
       " \n",
       " [113 rows x 1 columns],\n",
       "       variable\n",
       " value         \n",
       " 5         数据赋能\n",
       " 57        数据赋能\n",
       " 109       数据赋能,\n",
       "       variable\n",
       " value         \n",
       " 19          智能\n",
       " 37          智能\n",
       " 39          智能\n",
       " 43          智能\n",
       " 51          智能\n",
       " 156         智能\n",
       " 182         智能,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
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       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
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       " 5         高峰论坛\n",
       " 57        高峰论坛,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 205         开放\n",
       " 216         开放,\n",
       "       variable\n",
       " value         \n",
       " 167         生态\n",
       " 173         生态\n",
       " 223         生态,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 47          城市,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 152         平台\n",
       " 203         平台,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 19          未来\n",
       " 24          未来\n",
       " 154         未来\n",
       " 183         未来,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 23          小时\n",
       " 25          小时\n",
       " 180         小时,\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       " Empty DataFrame\n",
       " Columns: [variable]\n",
       " Index: [],\n",
       "       variable\n",
       " value         \n",
       " 13           疫\n",
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       "       variable\n",
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       " Empty DataFrame\n",
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       " Empty DataFrame\n",
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       " Index: [],\n",
       " Empty DataFrame\n",
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       " 47          城市,\n",
       " Empty DataFrame\n",
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       "       variable\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>BI领域的分析利器交叉表使用详解</td>\n",
       "      <td>2019-06-12</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>如何建立多层次多粒度取数模型</td>\n",
       "      <td>2019-06-05</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>阿里巴巴发布2020财年第三季度业绩</td>\n",
       "      <td>2020-02-13</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>终于也成了别人家口里的牛娃了！</td>\n",
       "      <td>2020-02-12</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>“以数之力”，大牌们精准营销背后的制胜之道</td>\n",
       "      <td>2020-01-16</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>226</th>\n",
       "      <td>2016淘宝要为卖家做什么？</td>\n",
       "      <td>2016-03-30</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>230</th>\n",
       "      <td>生意参谋2016年规划首度曝光</td>\n",
       "      <td>2016-03-26</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>231</th>\n",
       "      <td>阿里2016财年GMV突破3万亿！全球最大“网上经济体”来了</td>\n",
       "      <td>2016-03-21</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>232</th>\n",
       "      <td>一张图读懂阿里三万亿</td>\n",
       "      <td>2016-03-21</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>234</th>\n",
       "      <td>又是AlphaGo，ta和商业有什么关系？</td>\n",
       "      <td>2016-03-15</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>43</td>\n",
       "    </tr>\n",
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       "</table>\n",
       "<p>100 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                title create_time  \\\n",
       "value                                               \n",
       "6                    BI领域的分析利器交叉表使用详解  2019-06-12   \n",
       "7                      如何建立多层次多粒度取数模型  2019-06-05   \n",
       "10                 阿里巴巴发布2020财年第三季度业绩  2020-02-13   \n",
       "11                    终于也成了别人家口里的牛娃了！  2020-02-12   \n",
       "14              “以数之力”，大牌们精准营销背后的制胜之道  2020-01-16   \n",
       "...                               ...         ...   \n",
       "226                    2016淘宝要为卖家做什么？  2016-03-30   \n",
       "230                   生意参谋2016年规划首度曝光  2016-03-26   \n",
       "231    阿里2016财年GMV突破3万亿！全球最大“网上经济体”来了  2016-03-21   \n",
       "232                        一张图读懂阿里三万亿  2016-03-21   \n",
       "234             又是AlphaGo，ta和商业有什么关系？  2016-03-15   \n",
       "\n",
       "                                                    link  page  \n",
       "value                                                           \n",
       "6      http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...     2  \n",
       "7      http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...     2  \n",
       "10     http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...     3  \n",
       "11     http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...     3  \n",
       "14     http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...     3  \n",
       "...                                                  ...   ...  \n",
       "226    http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    42  \n",
       "230    http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    42  \n",
       "231    http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    43  \n",
       "232    http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    43  \n",
       "234    http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    43  \n",
       "\n",
       "[100 rows x 4 columns]"
      ]
     },
     "execution_count": 86,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# tagging 标记\n",
    "tagging_list = [\"\",\"马化腾\", \"腾讯\", \"微众银行\",\"腾讯复星\",\"腾讯风控\",\"腾讯支付\",\"WeChat\",\"We Remit\",\\\n",
    "                \"公益日\",\"红包\",\\\n",
    "                \"腾讯财付通\",\"鹅厂\",\"QQ钱包\",\"QQ红包\",\"QQ\",\\\n",
    "                \"只有一\",\"大咖\",\"听说\",\"图片\",\"照片\",\"小编\",\\\n",
    "                \"洗钱\", \"黑产\",\"被骗\",\"腾讯安全课\",\"诈骗\", \"炒股\",\"神秘兼职\",\"神秘组织\",\\\n",
    "                \"财付通\", \"品牌\",\\\n",
    "                \"收款\",\\\n",
    "                \"报告\",\\\n",
    "                \"银行卡\",\"理财\",\"选股\",\"发票\",\"基金\",\\\n",
    "                \"区块链\",\"金融云\",\"O2O\",\"农产品\",\"家乡\",\\\n",
    "                \"数据\", \"数据赋能\", \"智能\", \"数字孪生\", \"智慧大脑\",\\\n",
    "                \"出行\",\"乘车\",\"公交\",\"乘车码\", \"智慧地铁\",\\\n",
    "                \"高峰论坛\", \"智库\",\\\n",
    "                \"央行\",\"新规\", \\\n",
    "                \"微信\", \"微信支付\", \"跨境支付\", \"移动支付\",\"非银行支付\",\"电子支付\",\\\n",
    "                \"互联网金融\", \"金融科技\",\"互联网＋\",\"互联网+金融\",\"普惠金融\",\"虚拟银行\",\\\n",
    "                \"开放\",\"生态\",\"复杂\",\"互联网思维\",\"全球合作伙伴\",\\\n",
    "                \"联合国\", \"城市\", \"粤港澳大湾区\", \"平台\", \"可持续发展\", \"未来\", \"绿色\",\\\n",
    "                \"医护\",\"防护服\",\"小时\",\"武汉\",\"危机\",\"新冠肺炎\", \"疫\", \"疫情\", \"复工\",\"停课\",\"宅经济\",\\\n",
    "                \"基建\",\"新基建\"] #overwritable\n",
    "\n",
    "v_v_list = []\n",
    "\n",
    "for tag in tagging_list:\n",
    "    #print(tag)\n",
    "    #print(df_url_out.title.str.contains(tag))\n",
    "    #for循环输出包含某个关键字的索引值并输出为列表\n",
    "    \n",
    "    index_list = df_url_out [ df_url_out.title.str.contains(tag) ].index.tolist()\n",
    "    #print(index_list)\n",
    "    #.melt()把列名变为变量名(成为单独一列)，.set_index(\"value\")把变量值变为行索引\n",
    "    \n",
    "    v_v_pairs = pd.DataFrame({tag:index_list}).melt().set_index(\"value\")\n",
    "    #display(v_v_pairs)\n",
    "    v_v_list.append(v_v_pairs)\n",
    "    display(v_v_list)\n",
    "    \n",
    "#取全部值\n",
    "df_cat = v_v_list[0]\n",
    "df_cat\n",
    "for d in v_v_list:\n",
    "    #print(d)\n",
    "    #.update()更新\n",
    "    df_cat.update(d)\n",
    "display(df_cat)\n",
    "\n",
    "# 尚未标记内容\n",
    "df_url_out.loc [ df_cat.query('variable==\"\"').index ]"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "df_url_out.loc[53].link"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {},
   "outputs": [
    {
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    "scrolled": true
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   "outputs": [
    {
     "data": {
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       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>十万个“数据为什么” 阿里巴巴校招数据直播专场来啦</td>\n",
       "      <td>2020-04-24</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>史上最大品牌增长行动！天猫发布双百亿品牌新客计划</td>\n",
       "      <td>2020-04-15</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>【今日推荐】10个你需要了解的数据中台知识\\n点击阅读</td>\n",
       "      <td>2020-04-10</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>GROW 2.0品牌数字化增长白皮书​发布</td>\n",
       "      <td>2020-04-01</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>加入阿里大数据，更好的世界，更好的你！</td>\n",
       "      <td>2020-03-25</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>230</th>\n",
       "      <td>生意参谋2016年规划首度曝光</td>\n",
       "      <td>2016-03-26</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>231</th>\n",
       "      <td>阿里2016财年GMV突破3万亿！全球最大“网上经济体”来了</td>\n",
       "      <td>2016-03-21</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>232</th>\n",
       "      <td>一张图读懂阿里三万亿</td>\n",
       "      <td>2016-03-21</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>233</th>\n",
       "      <td>是你！就是你——想想都好激动！阿里数据求贤！</td>\n",
       "      <td>2016-03-17</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>234</th>\n",
       "      <td>又是AlphaGo，ta和商业有什么关系？</td>\n",
       "      <td>2016-03-15</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>43</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>235 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                              title create_time  \\\n",
       "0         十万个“数据为什么” 阿里巴巴校招数据直播专场来啦  2020-04-24   \n",
       "1          史上最大品牌增长行动！天猫发布双百亿品牌新客计划  2020-04-15   \n",
       "2       【今日推荐】10个你需要了解的数据中台知识\\n点击阅读  2020-04-10   \n",
       "3             GROW 2.0品牌数字化增长白皮书​发布  2020-04-01   \n",
       "4               加入阿里大数据，更好的世界，更好的你！  2020-03-25   \n",
       "..                              ...         ...   \n",
       "230                 生意参谋2016年规划首度曝光  2016-03-26   \n",
       "231  阿里2016财年GMV突破3万亿！全球最大“网上经济体”来了  2016-03-21   \n",
       "232                      一张图读懂阿里三万亿  2016-03-21   \n",
       "233          是你！就是你——想想都好激动！阿里数据求贤！  2016-03-17   \n",
       "234           又是AlphaGo，ta和商业有什么关系？  2016-03-15   \n",
       "\n",
       "                                                  link  page  \n",
       "0    http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...     1  \n",
       "1    http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...     1  \n",
       "2    http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...     1  \n",
       "3    http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...     1  \n",
       "4    http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...     1  \n",
       "..                                                 ...   ...  \n",
       "230  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    42  \n",
       "231  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    43  \n",
       "232  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    43  \n",
       "233  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    43  \n",
       "234  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    43  \n",
       "\n",
       "[235 rows x 4 columns]"
      ]
     },
     "execution_count": 88,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
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    "df_url_out[~df_url_out.duplicated()]"
   ]
  },
  {
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   "execution_count": 89,
   "metadata": {},
   "outputs": [
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     "data": {
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       "      <td>品牌</td>\n",
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       "      <td>数据</td>\n",
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       "0           数据\n",
       "1           品牌\n",
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       "3           品牌\n",
       "4           数据\n",
       "...        ...\n",
       "230           \n",
       "231           \n",
       "232           \n",
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       "\n",
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   "source": [
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  {
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   "execution_count": 90,
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   "outputs": [
    {
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       "      <th>0</th>\n",
       "      <td>十万个“数据为什么” 阿里巴巴校招数据直播专场来啦</td>\n",
       "      <td>2020-04-24</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>史上最大品牌增长行动！天猫发布双百亿品牌新客计划</td>\n",
       "      <td>2020-04-15</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>【今日推荐】10个你需要了解的数据中台知识\\n点击阅读</td>\n",
       "      <td>2020-04-10</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>GROW 2.0品牌数字化增长白皮书​发布</td>\n",
       "      <td>2020-04-01</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>加入阿里大数据，更好的世界，更好的你！</td>\n",
       "      <td>2020-03-25</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>1</td>\n",
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       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>230</th>\n",
       "      <td>生意参谋2016年规划首度曝光</td>\n",
       "      <td>2016-03-26</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>231</th>\n",
       "      <td>阿里2016财年GMV突破3万亿！全球最大“网上经济体”来了</td>\n",
       "      <td>2016-03-21</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>232</th>\n",
       "      <td>一张图读懂阿里三万亿</td>\n",
       "      <td>2016-03-21</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>233</th>\n",
       "      <td>是你！就是你——想想都好激动！阿里数据求贤！</td>\n",
       "      <td>2016-03-17</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>234</th>\n",
       "      <td>又是AlphaGo，ta和商业有什么关系？</td>\n",
       "      <td>2016-03-15</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>43</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>235 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                              title create_time  \\\n",
       "0         十万个“数据为什么” 阿里巴巴校招数据直播专场来啦  2020-04-24   \n",
       "1          史上最大品牌增长行动！天猫发布双百亿品牌新客计划  2020-04-15   \n",
       "2       【今日推荐】10个你需要了解的数据中台知识\\n点击阅读  2020-04-10   \n",
       "3             GROW 2.0品牌数字化增长白皮书​发布  2020-04-01   \n",
       "4               加入阿里大数据，更好的世界，更好的你！  2020-03-25   \n",
       "..                              ...         ...   \n",
       "230                 生意参谋2016年规划首度曝光  2016-03-26   \n",
       "231  阿里2016财年GMV突破3万亿！全球最大“网上经济体”来了  2016-03-21   \n",
       "232                      一张图读懂阿里三万亿  2016-03-21   \n",
       "233          是你！就是你——想想都好激动！阿里数据求贤！  2016-03-17   \n",
       "234           又是AlphaGo，ta和商业有什么关系？  2016-03-15   \n",
       "\n",
       "                                                  link  page  \n",
       "0    http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...     1  \n",
       "1    http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...     1  \n",
       "2    http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...     1  \n",
       "3    http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...     1  \n",
       "4    http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...     1  \n",
       "..                                                 ...   ...  \n",
       "230  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    42  \n",
       "231  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    43  \n",
       "232  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    43  \n",
       "233  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    43  \n",
       "234  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    43  \n",
       "\n",
       "[235 rows x 4 columns]"
      ]
     },
     "execution_count": 90,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_url_out"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>title</th>\n",
       "      <th>create_time</th>\n",
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       "      <th>variable</th>\n",
       "    </tr>\n",
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       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>十万个“数据为什么” 阿里巴巴校招数据直播专场来啦</td>\n",
       "      <td>2020-04-24</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>1</td>\n",
       "      <td>数据</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>史上最大品牌增长行动！天猫发布双百亿品牌新客计划</td>\n",
       "      <td>2020-04-15</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>1</td>\n",
       "      <td>品牌</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>【今日推荐】10个你需要了解的数据中台知识\\n点击阅读</td>\n",
       "      <td>2020-04-10</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>1</td>\n",
       "      <td>数据</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>GROW 2.0品牌数字化增长白皮书​发布</td>\n",
       "      <td>2020-04-01</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>1</td>\n",
       "      <td>品牌</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>加入阿里大数据，更好的世界，更好的你！</td>\n",
       "      <td>2020-03-25</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>1</td>\n",
       "      <td>数据</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>230</th>\n",
       "      <td>生意参谋2016年规划首度曝光</td>\n",
       "      <td>2016-03-26</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>42</td>\n",
       "      <td>无法分类</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>231</th>\n",
       "      <td>阿里2016财年GMV突破3万亿！全球最大“网上经济体”来了</td>\n",
       "      <td>2016-03-21</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>43</td>\n",
       "      <td>无法分类</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>232</th>\n",
       "      <td>一张图读懂阿里三万亿</td>\n",
       "      <td>2016-03-21</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>43</td>\n",
       "      <td>无法分类</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>233</th>\n",
       "      <td>是你！就是你——想想都好激动！阿里数据求贤！</td>\n",
       "      <td>2016-03-17</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>43</td>\n",
       "      <td>数据</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>234</th>\n",
       "      <td>又是AlphaGo，ta和商业有什么关系？</td>\n",
       "      <td>2016-03-15</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>43</td>\n",
       "      <td>无法分类</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>235 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                              title create_time  \\\n",
       "0         十万个“数据为什么” 阿里巴巴校招数据直播专场来啦  2020-04-24   \n",
       "1          史上最大品牌增长行动！天猫发布双百亿品牌新客计划  2020-04-15   \n",
       "2       【今日推荐】10个你需要了解的数据中台知识\\n点击阅读  2020-04-10   \n",
       "3             GROW 2.0品牌数字化增长白皮书​发布  2020-04-01   \n",
       "4               加入阿里大数据，更好的世界，更好的你！  2020-03-25   \n",
       "..                              ...         ...   \n",
       "230                 生意参谋2016年规划首度曝光  2016-03-26   \n",
       "231  阿里2016财年GMV突破3万亿！全球最大“网上经济体”来了  2016-03-21   \n",
       "232                      一张图读懂阿里三万亿  2016-03-21   \n",
       "233          是你！就是你——想想都好激动！阿里数据求贤！  2016-03-17   \n",
       "234           又是AlphaGo，ta和商业有什么关系？  2016-03-15   \n",
       "\n",
       "                                                  link  page variable  \n",
       "0    http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...     1       数据  \n",
       "1    http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...     1       品牌  \n",
       "2    http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...     1       数据  \n",
       "3    http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...     1       品牌  \n",
       "4    http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...     1       数据  \n",
       "..                                                 ...   ...      ...  \n",
       "230  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    42     无法分类  \n",
       "231  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    43     无法分类  \n",
       "232  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    43     无法分类  \n",
       "233  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    43       数据  \n",
       "234  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    43     无法分类  \n",
       "\n",
       "[235 rows x 5 columns]"
      ]
     },
     "execution_count": 91,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#.join()列方向拼接\n",
    "#.np.nan\n",
    "df_o = df_url_out.join(df_cat).replace(\"\", np.nan).fillna(\"无法分类\")\n",
    "df_o"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>0</th>\n",
       "      <td>十万个“数据为什么” 阿里巴巴校招数据直播专场来啦</td>\n",
       "      <td>2020-04-24</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>【今日推荐】10个你需要了解的数据中台知识\\n点击阅读</td>\n",
       "      <td>2020-04-10</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>1</td>\n",
       "      <td>数据</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>加入阿里大数据，更好的世界，更好的你！</td>\n",
       "      <td>2020-03-25</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>1</td>\n",
       "      <td>数据</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>第二届“数字化转型——数据赋能”高峰论坛本周日即将揭幕</td>\n",
       "      <td>2019-06-17</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>2</td>\n",
       "      <td>高峰论坛</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>阿里数据联合天猫发布《2018明星网络消费影响力排行榜》：吴亦凡成新任带货王</td>\n",
       "      <td>2019-05-20</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>2</td>\n",
       "      <td>数据</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>224</th>\n",
       "      <td>倒计时：全域大数据峰会来啦！</td>\n",
       "      <td>2016-04-05</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>42</td>\n",
       "      <td>数据</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>227</th>\n",
       "      <td>2016数据会如何助力卖家？</td>\n",
       "      <td>2016-03-30</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>42</td>\n",
       "      <td>数据</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>228</th>\n",
       "      <td>精彩数据峰会报名：快抢票</td>\n",
       "      <td>2016-03-30</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>42</td>\n",
       "      <td>数据</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>229</th>\n",
       "      <td>数老师第一讲：运营数据如何看？</td>\n",
       "      <td>2016-03-26</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>42</td>\n",
       "      <td>数据</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>233</th>\n",
       "      <td>是你！就是你——想想都好激动！阿里数据求贤！</td>\n",
       "      <td>2016-03-17</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>43</td>\n",
       "      <td>数据</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>113 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                      title create_time  \\\n",
       "0                 十万个“数据为什么” 阿里巴巴校招数据直播专场来啦  2020-04-24   \n",
       "2               【今日推荐】10个你需要了解的数据中台知识\\n点击阅读  2020-04-10   \n",
       "4                       加入阿里大数据，更好的世界，更好的你！  2020-03-25   \n",
       "5               第二届“数字化转型——数据赋能”高峰论坛本周日即将揭幕  2019-06-17   \n",
       "8    阿里数据联合天猫发布《2018明星网络消费影响力排行榜》：吴亦凡成新任带货王  2019-05-20   \n",
       "..                                      ...         ...   \n",
       "224                          倒计时：全域大数据峰会来啦！  2016-04-05   \n",
       "227                          2016数据会如何助力卖家？  2016-03-30   \n",
       "228                            精彩数据峰会报名：快抢票  2016-03-30   \n",
       "229                         数老师第一讲：运营数据如何看？  2016-03-26   \n",
       "233                  是你！就是你——想想都好激动！阿里数据求贤！  2016-03-17   \n",
       "\n",
       "                                                  link  page variable  \n",
       "0    http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...     1       数据  \n",
       "2    http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...     1       数据  \n",
       "4    http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...     1       数据  \n",
       "5    http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...     2     高峰论坛  \n",
       "8    http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...     2       数据  \n",
       "..                                                 ...   ...      ...  \n",
       "224  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    42       数据  \n",
       "227  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    42       数据  \n",
       "228  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    42       数据  \n",
       "229  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    42       数据  \n",
       "233  http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    43       数据  \n",
       "\n",
       "[113 rows x 5 columns]"
      ]
     },
     "execution_count": 92,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_o[df_o.title.str.contains(\"数据\")]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<style scoped>\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>title</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>variable</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>无法分类</th>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>数据</th>\n",
       "      <td>95</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>报告</th>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>智能</th>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>未来</th>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>生态</th>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>小时</th>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>品牌</th>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>高峰论坛</th>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>开放</th>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>平台</th>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>数据赋能</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>大咖</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>基金</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>城市</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>图片</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>疫</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>疫情</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>听说</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          title\n",
       "variable       \n",
       "无法分类        100\n",
       "数据           95\n",
       "报告            8\n",
       "智能            6\n",
       "未来            4\n",
       "生态            3\n",
       "小时            3\n",
       "品牌            2\n",
       "高峰论坛          2\n",
       "开放            2\n",
       "平台            2\n",
       "数据赋能          1\n",
       "大咖            1\n",
       "基金            1\n",
       "城市            1\n",
       "图片            1\n",
       "疫             1\n",
       "疫情            1\n",
       "听说            1"
      ]
     },
     "execution_count": 93,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_stats = df_o.groupby(by=\"variable\").agg({\"title\":\"count\"}).sort_values(by=\"title\", ascending=False)\n",
    "df_stats"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 输出"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_account.columns.name = \"rel_accounts\"\n",
    "df_o.columns.name = \"url_cat\"\n",
    "df_stats.columns.name = \"stats\"\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "\n",
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       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>rel_accounts</th>\n",
       "      <th>nickname</th>\n",
       "      <th>wechat</th>\n",
       "      <th>img</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>阿里数据</td>\n",
       "      <td>微信号：ali_data</td>\n",
       "      <td>http://mmbiz.qpic.cn/mmbiz_png/0H3REshgy4l4tR1...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>阿里巴巴数据库技术</td>\n",
       "      <td>微信号：alibabadba</td>\n",
       "      <td>http://mmbiz.qpic.cn/mmbiz_png/Hk1ceA7cQUBcNYc...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>阿里巴巴数据安全研究院</td>\n",
       "      <td>微信号：未设置</td>\n",
       "      <td>http://mmbiz.qpic.cn/mmbiz_png/stARYvaHoZTF0Mx...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>北京城市学院阿里大数据学院</td>\n",
       "      <td>微信号：未设置</td>\n",
       "      <td>http://mmbiz.qpic.cn/mmbiz_png/MLkFC1D6QCw9pJh...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>常州大学阿里云大数据学院</td>\n",
       "      <td>微信号：未设置</td>\n",
       "      <td>http://mmbiz.qpic.cn/mmbiz_png/Cv3KXkGd841vjhX...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "rel_accounts       nickname          wechat  \\\n",
       "0                      阿里数据    微信号：ali_data   \n",
       "1                 阿里巴巴数据库技术  微信号：alibabadba   \n",
       "2               阿里巴巴数据安全研究院         微信号：未设置   \n",
       "3             北京城市学院阿里大数据学院         微信号：未设置   \n",
       "4              常州大学阿里云大数据学院         微信号：未设置   \n",
       "\n",
       "rel_accounts                                                img  \n",
       "0             http://mmbiz.qpic.cn/mmbiz_png/0H3REshgy4l4tR1...  \n",
       "1             http://mmbiz.qpic.cn/mmbiz_png/Hk1ceA7cQUBcNYc...  \n",
       "2             http://mmbiz.qpic.cn/mmbiz_png/stARYvaHoZTF0Mx...  \n",
       "3             http://mmbiz.qpic.cn/mmbiz_png/MLkFC1D6QCw9pJh...  \n",
       "4             http://mmbiz.qpic.cn/mmbiz_png/Cv3KXkGd841vjhX...  "
      ]
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       "<table border=\"1\" class=\"dataframe\">\n",
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       "      <th>title</th>\n",
       "      <th>create_time</th>\n",
       "      <th>link</th>\n",
       "      <th>page</th>\n",
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       "  <tbody>\n",
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       "      <th>0</th>\n",
       "      <td>十万个“数据为什么” 阿里巴巴校招数据直播专场来啦</td>\n",
       "      <td>2020-04-24</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
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       "      <td>数据</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>史上最大品牌增长行动！天猫发布双百亿品牌新客计划</td>\n",
       "      <td>2020-04-15</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>1</td>\n",
       "      <td>品牌</td>\n",
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       "      <th>2</th>\n",
       "      <td>【今日推荐】10个你需要了解的数据中台知识\\n点击阅读</td>\n",
       "      <td>2020-04-10</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>1</td>\n",
       "      <td>数据</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>GROW 2.0品牌数字化增长白皮书​发布</td>\n",
       "      <td>2020-04-01</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>1</td>\n",
       "      <td>品牌</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>加入阿里大数据，更好的世界，更好的你！</td>\n",
       "      <td>2020-03-25</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>1</td>\n",
       "      <td>数据</td>\n",
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       "    <tr>\n",
       "      <th>...</th>\n",
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       "      <th>230</th>\n",
       "      <td>生意参谋2016年规划首度曝光</td>\n",
       "      <td>2016-03-26</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>42</td>\n",
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       "      <td>阿里2016财年GMV突破3万亿！全球最大“网上经济体”来了</td>\n",
       "      <td>2016-03-21</td>\n",
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       "      <td>43</td>\n",
       "      <td>无法分类</td>\n",
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       "      <th>232</th>\n",
       "      <td>一张图读懂阿里三万亿</td>\n",
       "      <td>2016-03-21</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>43</td>\n",
       "      <td>无法分类</td>\n",
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       "    <tr>\n",
       "      <th>233</th>\n",
       "      <td>是你！就是你——想想都好激动！阿里数据求贤！</td>\n",
       "      <td>2016-03-17</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>43</td>\n",
       "      <td>数据</td>\n",
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       "      <th>234</th>\n",
       "      <td>又是AlphaGo，ta和商业有什么关系？</td>\n",
       "      <td>2016-03-15</td>\n",
       "      <td>http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...</td>\n",
       "      <td>43</td>\n",
       "      <td>无法分类</td>\n",
       "    </tr>\n",
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       "</table>\n",
       "<p>235 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "url_cat                           title create_time  \\\n",
       "0             十万个“数据为什么” 阿里巴巴校招数据直播专场来啦  2020-04-24   \n",
       "1              史上最大品牌增长行动！天猫发布双百亿品牌新客计划  2020-04-15   \n",
       "2           【今日推荐】10个你需要了解的数据中台知识\\n点击阅读  2020-04-10   \n",
       "3                 GROW 2.0品牌数字化增长白皮书​发布  2020-04-01   \n",
       "4                   加入阿里大数据，更好的世界，更好的你！  2020-03-25   \n",
       "..                                  ...         ...   \n",
       "230                     生意参谋2016年规划首度曝光  2016-03-26   \n",
       "231      阿里2016财年GMV突破3万亿！全球最大“网上经济体”来了  2016-03-21   \n",
       "232                          一张图读懂阿里三万亿  2016-03-21   \n",
       "233              是你！就是你——想想都好激动！阿里数据求贤！  2016-03-17   \n",
       "234               又是AlphaGo，ta和商业有什么关系？  2016-03-15   \n",
       "\n",
       "url_cat                                               link  page variable  \n",
       "0        http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...     1       数据  \n",
       "1        http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...     1       品牌  \n",
       "2        http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...     1       数据  \n",
       "3        http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...     1       品牌  \n",
       "4        http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...     1       数据  \n",
       "..                                                     ...   ...      ...  \n",
       "230      http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    42     无法分类  \n",
       "231      http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    43     无法分类  \n",
       "232      http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    43     无法分类  \n",
       "233      http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    43       数据  \n",
       "234      http://mp.weixin.qq.com/s?__biz=MzI0MzIwNzA3OA...    43     无法分类  \n",
       "\n",
       "[235 rows x 5 columns]"
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      ],
      "text/plain": [
       "stats     title\n",
       "variable       \n",
       "无法分类        100\n",
       "数据           95\n",
       "报告            8\n",
       "智能            6\n",
       "未来            4\n",
       "生态            3\n",
       "小时            3\n",
       "品牌            2\n",
       "高峰论坛          2\n",
       "开放            2\n",
       "平台            2\n",
       "数据赋能          1\n",
       "大咖            1\n",
       "基金            1\n",
       "城市            1\n",
       "图片            1\n",
       "疫             1\n",
       "疫情            1\n",
       "听说            1"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "display(df_account)\n",
    "display(df_o)\n",
    "display(df_stats)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Index(['title', 'create_time', 'link', 'page'], dtype='object')\n"
     ]
    }
   ],
   "source": [
    "print(_df_.columns)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "metadata": {},
   "outputs": [],
   "source": [
    "_df_.columns.name"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Get the xlsxwriter workbook and worksheet objects.  \n",
    "with pd.ExcelWriter(fn[\"output\"][\"公众号_xlsx\"].format(公众号=\"阿里数据\")) as writer:\n",
    "    workbook  = writer.book\n",
    "\n",
    "    for _df_ in [df_account, df_o, df_stats]:\n",
    "        _df_.to_excel(writer, sheet_name = _df_.columns.name)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_url_out.to_excel('公众号_url_阿里数据_requests.xlsx')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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